(techno intro music) >> Hey everyone, good afternoon from sin city. This is Lisa Martin with Dave Vellante. We are in full swing of theCUBE's four days of coverage of AWS re:invent 2022. North of 50,000 people are here. We're nearing hundreds of thousands online. Dave, this has been, this is a great event. We've had great conversations. We're going to be having more conversations. One of the things we love talking about on theCUBE is AWS and its ecosystem of partners, and we are going to do just that right now. Brian Henderson joins us, Director of Marketing at Dell Technologies. Marc Trimuschat, Director of Worldwide Storage Specialists at AWS is also here. Guys, it's great to have you. >> Great to be here. >> Great to be here, yeah. Feeling the energy of the show. >> Isn't it great? >> Mark: I know, amazing. >> It's amazing. It started out high and it has not dropped since Monday night. Brian, talk a little bit about Dell, what you're doing with customers on their Cloud journeys. Every customer, every industry is on one at different points in their journey, but what's Dell helping out with there? >> What we're here to talk about is the progression that we've seen, right, Cloud has changed a lot over the years and Dell has really put out a strategy to help people with their Cloud journey, kind of wherever they are. So a lot of people have moved full shift. A lot of people see that as another location, and what we're showing at the booth is the idea of taking these enterprise capabilities that people know and trust from Dell, courting them to the Cloud. In some cases not courting, but just delivering that software in the Cloud, as well as taking some of the Kubernetes integrations, EKS Anywhere, bringing that on-prem. So we've got some storage, data protection, and our Kubernetes integration to talk about at the show. >> Awesome, Mark, talk about the role from Amazon's point of view that third party vendors like Dell Technologies plays in AWS's expanding vision of Cloud. >> Great, well, we're really excited to be partnering with Dell. What we see that historically is, you know, AWS is focused on builders, people, and really the developer community who are building those components themselves, putting together really resilient infrastructure and applications. What we're seeing today is a shift also to the type of customers that we're seeing, more traditional enterprise customers, who are demanding really performance, the scalability, also the resiliency of what they had on-premises, and they want that on the Cloud as well. So with Dell, and we've got some great solutions that we're partnering on, including Dell PowerFlex that provides that linear scalability and some of the high performance capabilities that customers are demanding. And also, another big trend that we're seeing is customers being affected by things like unfortunately malware events, right, and data protection. So Dell provides some great solutions in both those areas that allow enterprise customers to really experience that mission critical capability and resiliency that they have on-premises in the Cloud. >> You know, Brian, we've been at this a long time. >> Brian: Oh yeah, great to see you again. >> And I've been hearing my whole career that storage is going to get commoditized. And I guess if you're talking about spinning discs or flash drives, it's probably true, but as Mark was just saying if you want resilient storage and things that are recoverable, that don't go down all the time, they're not commodities. >> Brian: Yeah. >> It's real engineering. And you built the stack up, so talk about how that connection, what value you bring to the Cloud and your customers. >> Yeah, so what we see is people are always looking out for enterprise grade capabilities. So there's going to be a set of offerings, and AWS has a fantastic foundation for building on top of with the marketplace. So what we're able to do is really bring, in some cases, decades worth of investment in software engineering and put these advanced capabilities, whether it be PowerFlex with its linear scale. We'll have a file offering very soon. These products have been built from the ground up to do a very unique purpose. Giving that to people in the Cloud is just another location for us, AWS being the market leader. We're the market leader in storage. So us working together for the benefit of customers is really where it's at. >> Can you double click on that, Brian, what Dell and AWS? Give us all those juicy details. >> Sure, sure, sure, so what we've done right before this show is we put a product called PowerFlex, if you go back to 2018 scale IO, and you're taking this really linear scaling software defined architecture, and you're putting that in the Cloud. What that allows you to do is get that really advanced linear scale performance. You can even span clusters across AWS regions, as well as zones. So it's a really unique capability that allows us to be able to check in and do that. And in the data protection space, it's a whole separate category. We've been at this actually quite a while. We've got about 14 exo bytes of data that's already being protected on the AWS Cloud. So we've been at that for quite a while. And the two levels are really, do you want to back that up? Do you want to take a traditional back up application, maybe it's a lift and shift, and I want to back it up the way I used to, and you can do that in the Cloud now. Or we're seeing cyber resiliency come up a lot more, and we were just talking right before, it's a question of when, not if, and so we have to give our customers the option to not only detect that failure event early, but also to separate that copy with a logical air gap. >> The cyber resiliency is a topic we are talking more and more about. It's absolutely critical. We've seen the threat landscape change dramatically in the last couple of years. To your point, Brian, it's no longer, when we think of ransomware, it's no longer are we going to get hit? It's when, it's how often. What's the damage going to be? I think I saw a stat recently that there's one ransomware attack every 11 seconds. The average cost of reaches is in the millions, so what you're doing together on cyber resiliency for businesses in any industry is table stakes. >> Yeah, we just saw a survey that, it was done earlier this year survey, 66% unfortunately of corporations have experienced a malware attack. And that's an 80% increase from last year. >> Lisa: Wow. >> So again, I think that's an opportunity. It's a threat, but an opportunity, and so the partnership with Dell really helps bridge that and helps our customers, our mutual customers, recover from those incidents. >> A lot of people might say, this is interesting. A storage guy from Amazon, a storage guy from Dell, two leaders. And one might think, why didn't they just throw in a dash three, right, but you guys are both customer driven, customer obsessed. In the field, what are customers saying to you in terms of how they want you to work together? >> Well I think there's a place for everything. When you say throw in to S3, so S3 today, one of the big trends when you're looking here is just the amount of data, you know, we hear that rhetoric, you know, we've been in storage for many years, and the data has all increased up and to the right. But, you know, AWSI, S3 today, we have over 280 trillion objects in our, driving a hundred million transactions per second right now, so that's scale. So there's always a place for those really, we have hundreds of thousands of customers running their data links, so that's always going to be that really, you know, highly reliable, highly durable, high available solution for data links. But customers, there's a lot of different applications out there. So where customers are asking are those enterpise. So we have EBS, for example, which is our great, you know, scalable block search, elastic block store. We introduced some new volume types, like GP2, GP2, and IO2VX, which will have that performance. But there's still single availability zone. So what customers have done historically is they maybe the application layer, they put an application layer replication or resiliency across, but customers on-prem, they've relied on storage layers to do that work for them. So, with PowerFlex, that'll stand either using instant storage or EBS, building on that really strong foundation, but provide that additional layer to make it easy for customers to get that resiliency and that scalability that Brian talked about. >> Yep, yep. >> Anything you can add to that? >> Yeah, I mean to your question, how do we work together is really, it's all customer driven. So we see customers that are shifting workloads in the Cloud for the first time. And it might make sense to take an object, like PowerFlex or another storage technology, maybe you want to compress it a little bit before you send it to the Cloud. Maybe you don't want to lift and shift everything. So we have a team of people that works very closely with AWS to be able to determine how are you going to shift that workload out there? Does this make the right sense for you? So it's a very collaborative relationship. And it's all very customer driven because our customers are saying, I've got assets in the public Cloud, and I want them to be managed in a similar fashion to how I'm doing that on-prem. >> So customer obsession is clearly on both sides there. We know that. >> It's where it starts. >> Exactly, exactly. Going back to PowerFlex for a second, Brian, and I'd love to get an example of a joint customer that really is showing the value of what Dell and AWS are doing together. The question for you on PowerFlex, talk about the value that it offers to the public Cloud. And why should customers start there if they are early in this journey? >> All right, yeah, so the two angles are basically, are you coming from PowerFlex or you're coming from Cloud. If you're Cloud native, the advantage would be things like a really, really advanced block file system that has been built from the ground up to be software defined and pretty much Cloud native. What you're getting is that really linear scale up to about 1,000 nodes. You can span that across regions, across availability zones, so it's highly resilient. So if there's a node failure in one site, you're going to rebuild really fast, depending on the size of that cluster. So it's a very advanced architecture that's been built to run, you know, we didn't have to change a single line of code to run this product in the Cloud because it was Cloud native by default, so. >> Well that's the thing. We also see, and you've seen that with some of the other solutions, but customers really want that. Enterprise customers are, they want us to make sure those mission critical applications are working and stay up. So they also want to use the same environment. So we were talking before, we also see use cases where maybe they're using PowerFlex on-premises today and they want to be able to replicate that to PowerFlex that's in the Cloud. So we're seeing those, and the familiarity with that infrastructure really is that easy path, if you will, for those more conservative mission critical customers. >> We've learned a lot over the years from AWS's entry into the marketplace. Two recent teams working backwards. We talk about customer obsession. And also the Cloud experience. It brings me to APEX. >> Oh yeah. >> Dave: How does APEX fit in here? >> Yeah, so APEX is the categorization for all the things that we're doing around a modern Cloud experience for Dell customers. So we're taking them also on a journey, kind of as a service model. There's a do-it-yourself model. And anything that we do that touches Cloud is now being kind of put under that APEX moniker. So everything that we're doing around Project Alpine, enterprise software capabilities in the Cloud. Do you want someone else to manage it for you? Do you want it in a polo? That might be the right fit for you. It's all under that APEX umbrella and journey. So we're kind of still just getting started there, but we're seeing a lot of great traction. People want to pay as they go, you know, it's a very popular model that AWS has pretty much set the foundation for. So pay as you go, utility based pricing, this is all things our customers have been asking for. >> Yeah, so APEX, you basically set a baseline. You can dial it up, dial it down, very much pay by the drink. >> Absolutely. >> And, you know, like you said, it's early days. >> Brian: Yeah. >> But that's, again, AWS has influenced the business in a lot of different ways. >> Again, with the Dell, you know, the trust customers that Dell has built over the years and having those customers come in. We obviously are getting, again, it's an accelerated option for financial services to healthcare and all these customers that have relied on Dell for years, moving to the Cloud, having that trusted name and also that infrastructure that's similar and familiar to them. And then the resilience of the foundation that we have at AWS, I think it works really well together for those customers. >> I think it underscores to the majority of both AWS and in a lot of ways Dell, right. In the early days of Cloud, it was like uh oh, and now it's like oh, actually big market. Customers are demanding this. There's new value that we can create working together. Let's do it. >> Yeah, I mean, it didn't take us that long to get to it, but I'd say we had little fits and starts over the years, and now we've recognized like, this is where the future is. It's going to be Cloud, it's going to be on-prem, it's going to be Edge, it's going to be everything. It's going to be an and world. And so just doing the right thing for customers I think is exactly where we landed. It's a great partnership. >> Do you have a favorite customer story that you think really shines the light on the value of the Dell AWS partnership in terms of the business impact they're making? >> We have several large customers that I can't always like drop the names, but one of them is a very large video game production company. And we do a lot of work together where they're rendering maybe in house, they're sending to a shared location. They're copying data over to S3. They're able to let all their editors access that. They bring it back when it's compressed down a little bit and deliver that. We're also doing a lot of work with, I think I can say this, Amazon Thursday night football games. So what they've done there, it's a partner of ours working with AWS. All the details inside of that roaming truck that they drive around, there's a lot of Dell gear within there, and then everything connects back to AWS for that exact same kind of model. We need to get to the editors on a nightly basis. They're also streaming directly form that truck while they're enabling the editors to access a shared copy of it, so it's really powerful stuff. >> Thursday night prime is pretty cool. You know, some people are complaining cause I can't just switch channels during the commercials. It's like, first of all, you can. Second of all, the stats are unbelievable, right. You can just do your own replay when you want to. There's some cool innovations there. >> Oh yeah, absolutely. >> Very cool innovations. I've got one more question for each of you before we wrap. Marc, a question for you, we're making a fun Instagram reel. So think about a sizzle reel of if you were to summarize the show so far, what is AWS's message to its massive audience this year? >> Well, that's a big question. Because we have such a wide, as we mentioned, such a wide ranging audience. I really see a couple key trends that we're trying to address. One is, again don't forget, I'm a storage guy, so it's going to come from an angle from data, right. So, I think it's just this volume of data and that customers are bringing into the Cloud, either moving in from enterprises today or organically, just growing. You know, a couple years ago, megabytes were a lot, and now, you know, we're talking about petabytes every day. Soon it's going to be exo bytes are going to become the norm. So the big, I'd say, point one is the trend that I see is just the volume of data. And so what we're doing to address that is obviously we talked a little bit about S3 and being able to manage volumes of data, but also things like DataZone that we introduced because customers are looking to make sure that the right governance and controls to be able to access that data. So I think that's one big thing that I see the theme for the show today. The second thing is around, as I said, really these enterprise customers really wanted to move in these mission critical applications into the Cloud, and having that infrastructure to be able to support that easily from what they're doing today and move in quickly. The third area is around data protection, making sure the data protection and malware recovery, that's the theme that we see is really unfortunately that's today. But being able to recover quickly, both having native services and native offerings just built in resiliency into the core platforms, like S3 with object application, et cetera. And also partnering with Dell with cyber recovery and some of the solutions with Dell. >> Excellent, and Brian, last question for you. A bumper sticker that succinctly and powerfully describes why Dell and AWS are such awesome partners for customer issues. >> Best of both worlds, right? >> Lisa: Mic drop. >> Mic drop, done. >> That's awesome. You said that a lot more succinctly. (people laughing) >> Enterprise in Cloud, Cloud comin' to enterprise. >> Yeah, leader meets leader, right? >> Yeah, right. >> Love it, leader meets leader. Guys, it's been a pleasure having you on theCUBE. We appreciate hearing the latest from AWS and Dell from a storage perspective and from a Cloud perspective and how you're helping customers manage the explosion of data that's not going to slow down. We really appreciate you coming by the set. >> Thank you. >> Great, thanks so much, appreciate it. >> My pleasure. For our guests and Dave Vellante, I'm Lisa Martin, you're watching theCUBE, the leader in live enterprise and emerging tech coverage. (techno music)

(gentle music) >> Hey, everyone. Welcome back to New York City. Lisa Martin and John Furrier here with theCUBE, covering AWS Summit NYC. This is a series of summits this year. There's about 15 of them globally. We are excited to be here with a couple of guests. We have an alumni back with us. Couple of guests from Caylent, Stephen Garden joins us, the Executive Chairman, and Valerie Henderson, Chief Revenue Officer. Guys, welcome to the program. >> Thank you. >> Thank you. Thank you for having us. >> Great to have you, welcome back. >> Appreciate it, from 2016. >> 2016, it's been a minute. >> Yep. >> But that was before Caylent. Talk to us about Caylent, what do you guys do? What do you deliver? How are you affiliated with AWS? >> Sure, so we were founded in 2015, initially as a container management product. So our roots are very deeply centered around Cloud native. We've since evolved and become a Cloud native consultancy. We're all in with AWS. We were actually just awarded AWS Premier Partner a couple of weeks ago, so we're pretty pumped about that, but we're about 250 people now, across North and South America. And our goal is really to work with customers that are looking to innovate and evolve and use AWS as a catalyst to build new products for their business. >> As a catalyst, I like that. Valerie, talk about the customer. Obviously so much tumbled in the last couple of years. Still going through it. >> Yeah, of course. >> How have customer conversations evolved and changed in the last couple of years, from your perspective? >> Yeah, I think from my perspective it is such a unique time and it's a time that is constantly changing. And I think change breeds opportunity, and I feel like customers see that, and they're leaning in. They want the opportunity to create new revenue streams, do more, more efficiently, and I think that's the key. And the questions are really asking, how can we take our data, and turn it into something that we can monetize? How can we be smarter with what we have? And I think it's an incredible time to be in the space that we're in. Every conversation I have is really forward thinking, and about the business. And I've been in this space for a while, and that was not always that case. And I think now people are shifting that IT shop to IP shop, and that's so key, from my perspective. >> Interesting, interesting shift there. Every company has to be a data company these days, to be competitive, the last couple of years it was, how did we survive? Pivot, pivot, pivot. But to be a data company, means you have to be able to extract the value and insights from that data and act on it, to your point, develop new products, new revenue streams, new opportunities. How do you enable companies, and maybe this is a question that you can both answer, to truly become data companies? >> The whole model from a service's perspective is not a do-for model, it is a do-with model. And any time we go into a customer, it's like, where are they on the curve? From monolith application, to microservices, where do they sit today? And I think when you dig in, you assess, you deeply understand where they are, you can get them to where they want to be, and build a plan. And the way our model works is, we're doing it with them, and what that means is we're enabling them, documentation, we're supporting them, that if we're not there, they're going to be able to carry it forward and continue to do more. So, that's so so important. I'd love Stephen's take on it. >> Yeah, I think the other trend that we're seeing in data more recently is that customers need to share their information with other partners, collaborate. And AWS is just the perfect platform to be able to do that, enable that sharing. And you're seeing even businesses like Snowflake build a data Cloud on top of AWS. So, I think that's a new angle that we're seeing which is really bringing together way more innovation- >> What about that data clean-room trend that's going on, Snowflake's doing a lot of that. But some of them have a little lock in spec there, versus being open, security, privacy, governance, what's the balance between open sharing and the requirements you need to be secure and compliant? >> Yeah, I think very simplistically, the information that you are using to deliver your product and service to customers generally safer, more public and available, the information that's confidential to your business behind the scenes, obviously, you use the right protocols to lock it out. But it is a very hot topic in today's world, especially with Web3 and people seeking to get their information back, so... >> So you mentioned you guys around since 2015, if you go back in time, it seems like yesterday, but Cloud time, it's like two generations ago. Why is data now more relevant? Is it because the technology's gotten better and easier, or more maturization of the client's understanding, or being full with data, having a data problem and hence an opportunity? Or is it open source has evolved? Or all three, what's your reaction to that? Why is it exploding now when it's been around for a while? >> It keeps exponentially growing, right? The more and more data. There was a stat four or five years ago about, hey, we're taking more photographs in a single year now than all of mankind, leading up to that date, but I think just the sheer quantities and the way people are managing it now, and being able to actually capture information points of everything across their entire business, just presents a much bigger opportunity to be able to take and form decisions of the back of that. >> So do you see the customers having more data full problems, that they're having more data? So that's... And in that one >> 100%. >> Of the consequences of not leveraging it? >> Yeah, it's what to do. Yeah, absolutely, and if you think about when you wake up in the morning if you ask Alexa what the weather is, and like, you're creating data, in every engagement with the world. So I think it's this explosion of it, but then it exists, and what do you do, and having a strategy. I still think one of the biggest gaps is people, and talent, and expertise to do the work, frankly. Which is, the hypothesis of Caylent existing. >> Yeah, I think a data concept and application, because what's the weather to Alexa, is an application of what's the weather, it's a request, but it's actually the data's built into the app. >> It's built in. >> So data as code is a new trend. >> Yes, yeah, yeah, and I think it's funny to answer the question. There's more data points surrounding how to leverage your data, and I'm like, it's crazy, I think you're really seeing that working- >> We have an old data warehouse, we can't get the weather data, although it's there somewhere. But that's the problem. Getting the data, in the applications, this is not... Wasn't around 10 years ago. No one was talking like that. Now it's more standard. That sounds like DevOps to me, a DevOps problem. >> Yeah, moving from the monolithic to the microservice is wild, and just the way that people are building applications today. The users, their customers are demanding more from the service, and AWS is able to deliver that. >> What are some of your customers doing with you guys, can you give some examples and scope the scale of your relationship with the customers, vis-a-vis AWS and the Cloud, how they're using you guys and the Cloud. >> Yeah, yeah, for sure, a customer of ours, Allergen, which is an incredible organization, really had a large effort to modernize. And they actually have a data lab within their company called Allergen Data Labs, and they leveraged us to truly just modernize this containerization effort. How they can do more with less, and that serverless experience. So, I think from my perspective what we're seeing is also a need to be thoughtful about DevOps retooling and tooling because talent wants to work with the best toolset, the hottest stuff on the street, and again, to keep talent is key, in any organization's success. >> Valerie, how does Caylent help with that from a talent perspective? Obviously there's talent shortage, we're also still in the great resignation. >> Oh my gosh. >> How do you help organizations bridge the gap so that they can glean insights from data and be competitive and win? >> Yeah, we actually just published a case study with Novus which was bought by SEI, which is a huge financial firm. Where they said, "Listen, it's human nature to say I have a gap, and I need to fill it, I'm going to hire somebody." That's human nature to say, okay, this is what we're going to do. But the reality is, I think companies are starting to see the advantage of using a partner and say, okay, I could hire one person or I could bring in a partner who's going to have a team of five, works incrementally for a period of time, does with, helps coach my team up, document all of that, and I think that they're seeing value from that. And ultimately, it's not that we don't want them to eventually hire. When they do hire, we want that person to come in and have the best experience. >> And sometimes the people aren't even available, right? >> Correct, yeah. >> So you have a combination of managed services, a plethora of managed services that are also involved with the customers. So, it's that integration, scale, and partnering and sharing. You mentioned sharing data earlier, how do you guys view that integration piece, 'cause if you have a modern architecture, you got to have that decomposed, decoupled but integrated approach. >> Yeah, we really believe that the whole world of project services and managed services is coming together as one. So we have a single delivery model which we're really passionate about. And we look at it as an embedded team within our customers, embedded DevOps to support them, basically on anything that could be from a modernizing a new application through to addressing a more traditional Cloud architecture framework that's in place. But yeah, the trick to it is, as Val said earlier is the do with approach, not just do for, right? I think customers need to learn about the Cloud. They need to understand the technology that they're using. They want to have that understanding. And we found a way of fitting in our services to help them accelerate that part. >> So Valerie, I got to ask you the question. So, in sports you talk about the modern era of baseball or whatever, we're in the modern era of Cloud, going next generation. We call it Super Cloud, a concept that Dave and I put out at re:Invent. If someone asks you, what does the modern era look like? As you look at your customer base and the data you guys have, how would you describe this modern era? What is it made up of? Is it outcomes versus solutions? Is it technology that's decentralized? How do you talk about it? What is the modern era, if you were- >> Not to oversimplify it, but I'm going to, the idea that somebody could come into work and all they have to think about is business outcomes and the data points that they need to achieve said business outcomes. I'm the biggest fan of measure what matters, I think it is an incredibly powerful methodology. And I think anybody who thinks about running business, they know that it's a scale. The amount of companies that are in that place is very small right now. So I think modern era is really that running an IT company to an IP company. >> So Stephen, if you unpack that, what's under the covers to make that happen? Automation, machines, what's your assessment of that outcome, which by the way was well said. Beautiful, beautiful comment. What makes that happen? >> I think it is around automation. It is around do once and then apply many times. That is key. Obviously it's a fundamental principle of the Cloud, is that consistency in that repeatability. So when you can simplify services down to a point, click, deploy, I think you're in a much better position to be able to move quickly and then not have to worry about anything under the hood and just focus, like Val said, on the business outcomes. >> That's more creative. They're focusing on the problems, to not do the rock fetches and the heavy lifting that's not differentiated. >> I find that what gives people energy generates opportunity. And I think when people hit those roadblocks of, these things don't work together. There's all these interdependencies. It's really challenging. So I love what's happening. I think there's never been a better time to be in this business. >> Not a dull moment, That's for darn sure. >> Not a dull moment. >> Valerie, talk about outcomes. You mentioned a couple of customers that you're working with, some case studies. It is all about outcomes these days. That's the conversations that we have with the entire ecosystem is all about business outcomes. What are some of those key transformative business outcomes that Caylent is helping customers to achieve? >> Yeah, to me one thing that is key is, anytime I'm meeting with a customer, I want to understand who their customers are. I'm like, who is your customer? And how can we create a better experience for that customer. Whether it's their end users or their external customers. And I think that is a huge element. What we're seeing is that sassification of, how do I make it easier for my customers to procure and engage with my platform? And a lot of what we're doing right now is helping clients with that. And it's not a flip of a switch, it's not a click of a button, it's complicated. But that is what we are here to help, help simplify, help create that understanding of what's possible. >> How do you guys talk to your customers, take a minute to give a plug for the company. What are you looking for? What's the stats? How many employees you guys hiring, and what's the pitch to customers? >> Yeah, so I think every organization is on their journey to the Cloud now. It's gotten to that point where if you're not working with a public Cloud provider, you're part of a very, very small group. We like to say that we'll meet customers where they are, and help evolve them as a business, help evolve their teams. And that's what we mean when we say do with, so it's a pretty broad spectrum. We're big in healthcare. We're big in FinTech. We've worked with a lot of startup customers. We have about 250 customers today, 250 employees. And we're scaling rapidly. We've grown that from about 50 employees a year ago. >> Oh, wow. >> Yes, when I started, we were just around 60 people and we're at 260 today. >> And why are people working with you? What are you guys, solving a problem? Are you enabling them? What's the pitch? >> Without a doubt, I love that. Being in sales my whole career, somebody asking me for a pitch is my favorite. >> Okay, let's go. >> Yeah, yeah, the true value prop of what we do is all of the above. We enable, we help customers do more faster, but again, we do not want customers to walk away from an engagement with us saying, oh no, we don't know what to do. We want them to feel empowered. I still think the biggest gap from everything being in that IP business outcome is people. And for us, we're so passionate about that, and building a company that really truly believes that. And that's part of who we are as a company and our value system. >> And the digital transformation, ultimately what they're going through, you get them there faster. They get the outcomes and they're operational. >> Absolutely, and also to be clear, when a customer has a great experience working with you, they want to tell other people about the experience. And for us, like the referrals that we get, the partnership with Amazon is so key. >> What are some reactions after you go through an engagement? We've been riffing on this concept of Super Cloud where you're starting to see people build on top of, not the AWSs, but their partners that work with them. And so the customers are getting their own Cloud experience at scale. What are some of the comments you hear from your successful customers? What are some anecdotal feedback? >> Yeah, yeah. >> I'm so glad we did this because now I'm selling more, I'm doing this, what are some of the things that they're thinking? >> Yeah, yeah, I think ultimately the consistent theme that we get is, "I'm so glad that I didn't let fear hold me back from engaging a partner," because a lack of control scares a lot of customers. It does. And I think customers that are willing to say, "Okay, I'm going to have a little faith, trust in the process." They thank us. They do, and we've seen that across the board. I think that crossing that chasm is not to be underestimated without a doubt. >> Great story, congratulations. >> Oh, thank you. >> Well, there's nothing more powerful and potent than the voice of the customer. >> Without a doubt. And really you have to listen. >> Yes, yes, definitely. Stephen, Valerie, thank you so much for joining Dave and me on the program today, talking about Caylent, what you guys are doing for customers with AWS, empowering, enabling, collaboration. I love it, thank you. >> Yeah, thank you both. >> All right, our pleasure. For John Furrier, I'm Lisa Martin. You're watching theCUBE live in New York City, we are at AWSO in NYC, John and I will be right back with our next guest. (gentle music)

(upbeat music) >> Okay, we're kicking off the program with our first segment. Jay Henderson is the vice president of product management at Alteryx. And we're going to talk about the trends and data where we came from, how we got here, where we're going. We got some launch news. Hello, Jay, welcome to theCUBE. >> Great to be here. Really excited to share some of the things we're working on. >> Yeah, thank you. So look, you have a deep product background, product management, product marketing. You've done strategy work. You've been around software and data your entire career, and we're seeing the collision of software, data, cloud, machine intelligence. Let's start with the customer and maybe we can work back from there. So if you're an analytics or a data executive at an organization, Jay, what's your north star? Where are you trying to take your company from a data and analytics point of view? >> Yeah, I mean, look, I think all organizations are really struggling to get insights out of their data. I think one of the things that we see is you've got digital exhaust creating large volumes of data. Storage is really cheap, so it doesn't cost them much to keep it. And that results in a situation where the organization's drowning in data, but somehow still starving for insights. And so I think, you know, when I talk to customers, they're really excited to figure out how they can put analytics in the hands of every single person in their organization, and really start to democratize the analytics and you know, let the business users and the whole organization get value out of all that data they have. >> And we're going to dig into that throughout this program. And data, I like to say is plentiful. Insights, not always so much. Tell us about your launch today, Jay. And thinking about the trends that just highlighted, the direction that your customers want to go, and the problems that you're solving. What role does the cloud play, and what is what you're launching, how does that fit in? >> Yeah, we're really excited today we're launching the Alteryx analytics cloud. That's really a portfolio of cloud-based solutions that have all been built from the ground up to be cloud native, and to take advantage of things like browser based access. So that it's really easy to give anyone access including folks on a Mac. It also lets you take advantage of elastic compute, so that you can do, you know, in database processing and cloud native solutions that are going to scale to solve the most complex problems. So we've got a portfolio of solutions, things like designer cloud, which is our flagship designer product in a browser and on the cloud. We've got Alteryx machine learning which helps up-skill, regular, old analyst, with advanced machine learning capabilities. We've got auto insights, which brings business users into the fold and automatically unearths insights using AI and machine learning. And we've got our latest edition which is Trifacta, that helps data engineers do data pipelining, and really, you know, create a lot of the underlying data sets that are used in some of this downstream analytics. >> So let's dig into some of those roles, if we could a little bit. I mean, traditionally Alteryx has served the the business analysts, and that's what designer cloud is fit for, I believe. And you've explained kind of the scope. Sorry, you've expanded that scope into the to the business user with Hyper Anna. And in a moment, we're going to talk to Adam Wilson and Suresh, about Trifacta. And that recent acquisition takes you as you said into the data engineering space and IT, but in thinking about the business analyst role, what's unique about designer cloud and how does it help these individuals? >> Yeah, I mean, really I go back to some of the feedback we've had from our customers which is, you know, they oftentimes have dozens or hundreds of seats of our designer desktop product. Really as they look to take the next step, they're trying to figure out, how do I give access to that, those types of analytics to thousands of people within the organization. And designer cloud is really great for that. You've got the browser based interface. So if folks are on a Mac, they can really easily just pop open the browser and get access to all of those prep and blend capabilities to a lot of the analysis we're doing. It's a great way to scale up access to the analytics and start to put it in the hands of really anyone in the organization, not just those highly skilled power users. >> Okay, great. So now then you add in the Hyper Anna acquisition. So now you're targeting the business user, Trifacta comes into the mix, that deeper IT angle that we talked about. How does this all fit together? How should we be thinking about the new Alteryx portfolio? >> Yeah, I mean, I think it's pretty exciting. When you think about democratizing analytics and providing access to all these different groups of people, you've not been able to do it through one platform before. It's not going to be one interface that meets the needs of all these different groups within the organization, you really do need purpose built specialized capabilities for each group. And finally today with the announcement of the Alteryx analytics cloud, we brought together all of those different capabilities, all of those different interfaces into a single end to end application. So, really finally delivering on the promise of providing analytics to all. >> How much of this have you been able to share with your customers and maybe your partners? I mean, I know all this is fairly new but have you been able to get any feedback from them? What are they saying about it? >> Yeah, I mean, it's pretty amazing. We ran early access and limited availability program, that let us put a lot of this technology in the hands of over 600 customers. >> Oh, wow. >> Over the last few months. So we have gotten a lot of feedback. I tell you, it's been overwhelmingly positive. I think organizations are really excited to unlock the insights that have been hidden in all this data they've got. They're excited to be able to use analytics in every decision that they're making so that the decisions they have are more informed and produce better business outcomes. And this idea that they're going to move from, you know, dozens to hundreds or thousands of people who have access to these kinds of capabilities, I think has been a really exciting thing that is going to accelerate the transformation that these customers are on. >> That's good. Those are good numbers for a preview mode. Let's talk a little bit about vision. So if democratizing data is the ultimate goal, which frankly has been elusive for most organizations. Over time, how's your cloud going to address the challenges of putting data to work across the entire enterprise? >> Yeah, I mean, I tend to think about the future and some of the investments we're making in our products and our roadmap across four big themes. And these are really kind of enduring themes that you're going to see us making investments in over the next few years. The first is having cloud centricity. The data gravity has been moving to the cloud. We need to be able to provide access, to be able to ingest and manipulate that data, to be able to write back to it to provide cloud solutions. So, the first one is really around cloud centricity. The second is around big data fluency. Once you have all of that data you need to be able to manipulate it in a performant manner. So, having the elastic cloud infrastructure and in-database processing is so important. The third is around making AI a strategic advantage. So, you know, getting everyone involved in accessing AI and machine learning to unlock those insights, getting it out of the hands of the small group of data scientists, putting it in the hands of analysts and business users. And then the fourth thing is really providing access across the entire organization, IT and data engineers, as well as business owners and analysts. So, cloud centricity, big data fluency, AI as a strategic advantage, and personas across the organization, are really the the four big themes you're going to see us working on over the next few months and coming years. >> That's good, thank you for that. So on a related question, how do you see the data organizations evolving? I mean, traditionally you've had, you know monolithic organizations, very specialized, or I might even say hyper specialized roles. And your mission, of course, as the customer, you and your customers, they want to democratize the data. And so, it seems logical that domain leaders are going to take more responsibility for data life cycles, for data ownerships, low code becomes more important. And perhaps there's kind of challenges the historically highly centralized and really specialized roles that I just talked about. How do you see that evolving, and what role will Alteryx play? >> Yeah, I think we'll see sort of a more federated system start to emerge. Those centralized groups are going to continue to exist, but they're going to start to empower in a much more decentralized way, the people who are closer to the business problems and have better business understanding. I think that's going to let the centralized highly skilled teams work on problems that are of higher value to the organization. The kinds of problems where one or 2% lift in the model result in millions of dollars a day for the business. And then by pushing some of the analytics out closer to the edge and closer to the business, you'll be able to, you know, apply those analytics in every single decision. So I think you're going to see both the decentralized and centralized model start to work in harmony in a little bit more of a, almost a federated sort of way. And I think the exciting thing for us at Alteryx is, you know, we want to facilitate that. We want to give analytic capabilities and solutions to both groups and types of people. We want to help them collaborate better, and drive business outcomes with the analytics they're using. >> Yeah, I mean, I think my take on it, I wonder if you could comment is, to me the technology should be an operational detail. And it has been the dog that wags the tail or maybe the other way around. You mentioned digital exhaust before. I mean, essentially it's digital exhaust coming out of operational systems that then it somehow eventually end up in the hand of the domain users. And I wonder if increasingly we're going to see those domain users, those line of business experts get more access, that's your goal. And then even go beyond analytics, start to build data products that could be monitized. And that maybe it's going to take a decade to play out, but that is sort of a new era of data. Do you see it that way? >> Absolutely. We're actually making big investments in our products and capabilities to be able to create analytic applications, and to enable somebody who's an analyst or a business user to create an application on top of the data and analytics layers that they have, really to help democratize the analytics, to help pre-package some of the analytics that can drive more insights. So I think that's definitely a trend we're going to see more of. >> Yeah, and to your point, if you confederate the governance and automate that... >> Yep. Absolutely. >> Then that can happen. I mean, that's a key part of it, obviously, so... >> Yep. >> All right, Jay, we have to leave it there. Up next, we take a deep dive into the Alteryx recent acquisition of Trifacta with Adam Wilson, who led Trifacta for more than seven years, and Suresh Vittal, who is the chief product officer at Alteryx, to explain the rationale behind the acquisition, and how it's going to impact customers. Keep it right there. You're watching theCUBE, your leader in enterprise tech coverage. (upbeat music)

>> Announcer: Live from Las Vegas. It's theCUBE. Covering ServiceNow, Knowledge2018. Brought to you by ServiceNow. >> Welcome back, everybody. Jeff Frick here with theCUBE. We're at ServiceNow Knowledge18, 2018. Been here for six years. It's amazing. It's like 18,000 people all over the Sands Convention Center. Huge ecosystem and we're excited to be back, as usual. Our next guest, Greg Deitrich. He's a VP of operations in engineering at DXC. Joined by Tim Henderson, director of automation engineering at DXC. Gentlemen, welcome. >> Thank you. >> Thanks for having us. >> Yeah, absolutely. So, first off, just kind of impressions of the show. It's amazing. This thing grows like four or five thousand people, I think, every single year. >> Yeah, it's amazing to see 18,000 people here at a ServiceNow conference. I actually attended back in October of 2007 before they had Knowledge. I attended a first user group session in New York where there's about 70 people around... >> You and Fred and a couple other people, right? >> Fred, his brother who ran operations at the time, and a few more. >> That's right. And then, obviously, you guys... We interviewed traditional partners way back into the day. You got mopped by CSC and you guys have rebranded into DXC. So you guys have a long history in really making a bet on the ServiceNow value proposition. >> Yeah, that's right. CSC and now DXC has had a long history of partnership with ServiceNow and, as you said, as evidenced by some of these acquisitions that we did with Fruition and Logicalis, the guys with the green suits around here. >> Jeff: That's right. >> And that continues to be a very strong part of our business. >> Good bet. >> Yeah, absolutely. >> And what's interesting, and I'm sure back in the day, we used to talk to Fred. He had this great platform but nobody's got a line item budget for a new platform, right? So you have to build the application. Obviously, the story's well-known. He build the service-management application. But he still has that great platform underneath. And now we're seeing all these different kind of applications built on this platform beyond what the original application-- >> I think that what you see is the pivot to more focus on business and less about IT, right? And that's what we're doing with Bionics And Platform DXC. It's taking a completely different angle that we're trying to orchestrate business within an ecosystem which ServiceNow is a key construct of. And it resonates with clients. We've showed what we've done to several major clients and it's really trying to achieve, like John said, business outcomes and less about the IT. But how can you quickly bundle sequence workflows and capability to get efficiency and automation into the workplace. >> Right. So let's dig down a little deeper on that application. What problem did you approach? Why was this the right tool to go after this problem? >> Sure. So the big thing that Tim and I are driving across DXC is our DXC Bionics approach which is really centered on how can we digitally transform our delivery engine, right? So we're applying data and analytics and leaning out people on processes and applying technology automation tools to really drive intelligent automation across everything we do. To get better, faster, cheaper, more automated, scalable, repeatable. In doing that, it was really important that we took a platform approach and ServiceNow's been a cornerstone in that platform. And we call that platform Platform DXC. >> Why are you called Bionics? >> So, Bionics, for us, is that combination of data, people, and technology. It's not just automation as the silver bullet and just the technology. It has to be that combination of the data with the people and the technology and automation coming together to make people work smarter, work more intelligently. >> Jeff: Right. >> And I think some of that, too, is the muscle part of it, right? You think Bionics but, as Greg said, you've really got to understand the business problem or what's occurring. And a lot of people we've seen in the industry are applying just automation without really understanding the underlying problem. And a lot of companies have had IT implemented in a diversified portfolio for 20 years and these disparate systems are very siloed. And there's a lot of waste in the value stream of their company. If you really don't break that apart and look at that, you're really not helping them lead in their marketplace. >> Right. It's just fascinating how we continue to find these big giant buckets of inefficiency. All the way back to the original ERP days and you just keep finding so many giant buckets where things are just not working as smoothly as they could. >> You know, people will look at this somewhat and they'll say, "Well, automation is to get heads out." Well, actually, it's to free up heads, right, Greg? To where you can actually empower these people to go do other value-added things for that company and not sit here in this toil or managing technical data or inefficient waste. It's really liberating but it does take a good champion within a company to go pull that off. >> And clearly the people part's probably the hardest part, right? In the keynote yesterday, John touched on, kind of, best practices and one of them, I think number three, was a commitment to change process. And that's, obviously, a big part of you guys' business, helping people to get through that piece of it. I laugh. I have Alexa and I have a Google Home, and they send me emails on how I should interact with this thing to try to help me change my behavior to take advantage of this new technology. I'm like, "Oh, okay." So it's hard to change people's behavior. >> Yeah, see the people component comes down to a couple of things. One, it comes down to skills, right. And there's been a lot of discussion here this week around getting the right skills, the digital types of skill that are needed in this new economy. But the other piece that's more important, I think, around people is this cultural picot, right? So a big piece of our digital transformation has not been about technology, but is has been about a cultural change. Thinking differently, challenging the status quo. Working differently, right? That agile DevOps. Eliminating that fear of failure. Let's fail fast, let's learn from it in that continual incremental way of driving improvement. >> Right. And something we did when Greg and I experimented with this. We actually didn't know how it was going to work out. To put the platform itself together, we created this concept called a Buildathon. >> Jeff: A Buildathon? >> A Buildathon. >> Jeff: Not a hackathon. >> So we have our team. We have ServiceNow. We have AWS. Microsoft, Dell, other partners in there. And we write code together. It's no Powerpoint. You're doing scrum sessions. And we basically created the platform in 230 days which is phenomenal when you think about it. From inception to briefing Greg and the CTO of our company, Dan Hushon, to saying it's open for business. >> Right. >> And, as Greg said, empowering people, getting them to work. But one thing we're doing is getting our partners to build with us. We call it co-creation. I know it's a little dicey term if you take that the wrong way. But they're having fun with it because, instead of getting all caught up in contractuals and, "What am I going to make on this?", it's like, "Let's go try some things and build together "and then go, oh, well, I made that water glass "and I can go price this in here and everybody "understands what they're going to make in it "as a business." And it's huge. It transforms the workforce. Our partner network loves it. They're lined up to get into the framework. And, like Greg says, it's re-energized our workforce. It's been huge. >> It's interesting, the whole DevOps conversation. So all these terms, Moore's Law, et cetera, have a very specific application. But I think it's much more interesting in the more general application of that method. Whether it's Moore's Law and this presumption that we're just going to keep getting better, faster, cheaper, and driving forward. Or we really do have switches. No, we're not going to do a big old MRD, and we're not going to do a big giant PRD, and spread this thing out, and start our build, and someday down the road, hope to deliver something. It's like, "Let's start delivering now." >> Right. Gone are the days of those big requirements, and then go way, and then the big reveal. And, oh no, we missed all this. Right? It's got to be that more interactive, collaborative module way. >> Right. And the thing about the people... You know, we go to a ton of shows, right? Everyone's automation's going to take. But I've never heard anyone say, "We're overstaffed." That we have more people qualified in these new areas than we need. I mean, there's still such a demand for people across the board. Whether it's truck-driving or it's... >> It's unlocking the power of those people. Just to kind of share an example, when we went through the pilot for this to go get the funding, we took basically a womb-to-tomb situation where we would go do infrastructure to service a platform and have it in a client's hand for business. In the past, that would take us 2100 hours and eight teams and 53 hand-offs. In seven weeks, we've proved we could orchestrate that all the way through the last mile, getting to the client's network in two hours and 14 minutes to where the client could log in. >> Wow, that's a game-changer. >> It is a game-changer. But you free up those resources then to help that customer understand how to leverage that application and change their business versus all this toil of trying to figure out, "Well, did I get the network connected? "Well, who knows how to do the firewalls?" Everything is code. >> Right. >> And that's really, I said it earlier, we're really going towards business code, right? Because that's what John's talking about, is getting business processes code, and then empowering people to have that situational awareness. >> And then, hopefully, opening up their minds to, "Oh, my goodness. "If I can do this that easily, "what else can I do? "What else can I do." So, Tim, you've got an interesting background. Not that ServiceNow is not exciting. But you were involved in a very exciting business for years and years at Cape Canaveral. So what did you do there and what lessons did you learn there that you can apply right now? >> That's a great question. So it was actually an honor to support our country in that way. I was the IT director at Cape Canaveral for 12 years and supported Atlas, Titan, and Delta rocket launches for commercial and military purposes. But what I learned there a lot was two key things: systems engineering... That's almost like DevOps for aerospace and defense. It is people really building a system together and understanding what they have to achieve. The other thing is command and control. And that sounds a little rigid in today's world of agile. But when Greg and I talked about Platform DXC, what we felt is, we need and control system for business. Right? That has a complete loop. And we're going to talk about this Thursday at 1:30? >> 1:30. >> Right. So we took a lot of those constructs and we didn't even select ServiceNow when we put the platform together. We'd been a good partner with them. But then we said, "You know what? "They have a market-leading solution. "They're going to fit into the orchestration "of business." And then, there's an intelligence pillar, and an automation pillar. But we're seeing huge gains. Every client we get in front of is like, "Wow, we didn't think about that." And we also have, our partners are actually wanting to put their IP into our platform so people can just consume it and we could wrap another service wrapper around it. So it kind of turns into an IT marketplace in a way. So we're pretty excited about it. >> I'd love to just kind of drill down on the command and controls. Interesting. I talked to a company a couple of weeks ago and they were in aviation. And the guy's like, "You know, in aviation, "if they want to innovate around ticketing "or AV systems in the planes, "they can innovate all day long. "It doesn't really matter if somebody "can't print their ticket if it doesn't come up "on their phone." But in terms of the safety, it's not to say, in terms of the regs, and the maintenance, of the aircraft. It's super-rigid. You can't take risks. I would imagine at Cape Canaveral, although, some missions have people, some don't, it's still big, expensive missions and you really aren't failing fast... >> We actually move pretty quick, believe it or not. You can build a rocket in six months. They'll fly it in and you can erect it and test it in thirty days and launch, which is pretty crazy when you think about it. And a rocket's a lot of hardware and software, right? What they have is that value stream, through systems engineering and situational awareness. So, for example, they know every time a torque wrench is used, who used it. So if it went out of calibration, they can immediately go back and say it was used on this guidance system, on that rocket. We need to go back and check it before it launches. And it's really a pedigree. You know, who was the tech? Were they assigned? Did they have the right skills? Did they capture the data for the test? And you really have a pedigree. And we've actually built some of that into the Platform DXC. We call it the Digital Thread, which is something we'd worked on with the Air Force. So if you take compliance, right, and you have this thread of everything that's occurred, whether it's the people, an asset, an application, you have a thread. So you look at compliance radically different. So we capture a lot of telemetry, whether it's technical, business, or security. And that's where the intelligence pillar has this whole AI engine and machine learning and things to just start pivoting radically. So it's really a closed-loop system which is what a rocket has. The airplane that probably everybody in this room flew here in, right? It's always sensing itself and adjusting. And if it has a failure potentially coming up, it notifies Boeing before that plane lands that they need something to go look at. That's what we're trying to do here for business. >> It's funny. Another interview, this gal came. She was a lawyer. She was a homicide detective. And we talked to her about chain of possession. What an important concept chain of possession is. And I'm just curious about how cumbersome was that before when you started versus with the tools that we have now in terms of sensors and networks, and basically unlimited networking and unlimited storage? What percentage of it really was chain of command versus actually doing things, and that kind of followed along? >> I think you asked a question, how cumbersome was it? I think it was so difficult that, in many cases, it was not there. Right? So you had these big gaps. And you didn't know what happened and you didn't have the integration of the data. And now, in today's world, with these more real-time cloud-based, integrated systems, you're able to get that at, more and more, a commoditized price. It's no longer as expensive and difficult to get that. It's being commoditized where, in the past, in some cases, you didn't have it because it was too hard or too expensive. >> Right. So you didn't have that closed-loop kind of feedback mechanism to make sure that things go well. >> Tim: You needed people and paper. >> Yeah. >> Alright, so I can't believe we're, like, May 9th. The year's halfway gone. So what's next up in the balance of 2018 on this journey? If we talk a year from now, what are we going to be talking about? >> Yeah, so our strategy for this year ahead of us is really to continue driving Bionics, or intelligent automation across our whole business unit. So DXC, the world's leading largest independent services company across infrastructure, apps, and BPS. So we're transforming how we deliver and deploying that at scale. So intelligent automation at scale across your business. The second key piece for us this year is to work across all of our offerings and our industry solutions to ensure that they're built for operations and built on Platform DXC so all that efficiency, effectiveness, automation is built into the offerings. So that what we have ahead of us for this year. Alright. Should be fun. And it has been so far. We'll watch Elon Musk's car keep going through space because that's very entertaining. >> Tim: It is pretty cool. >> Well, what's cool, too, is that everyone's excited to watch the launches. They're going to get up at six in the morning and count it down and it is very cool. Alright, Tim, Greg, thanks again for taking a few minutes and stopping by. >> Thank, Jeff. >> Alright, Tim and Greg. I'm Jeff. You're watching theCUBE from ServiceNow Knowledge2018 in Las Vegas, Nevada. We'll be right back after this short break. Thanks for watching.

>> Narrator: Live from Las Vegas, it's theCUBE. Covering Dell Technologies World, 2018. Brought to you by Dell EMC and it's Ecosystem partners. >> Welcome back here on theCUBE. We continue our live coverage here from Dell Technologies World 2018. We are live, we are in Las Vegas. I'd say it was kind of warm when we first got here, but it's chilled off a little bit so I hope the weather is a little bit better wherever you are. But it's red hot inside here as far as what's happening on the show floor. Along with Stu Miniman, I'm John Walls. It is now our pleasure to welcome to our set, Susan Sharpe who's a senior consultant product manager at Dell. Susan, good to see you. >> Thank you very much. >> John: And Brian Henderson, director of Storage Portfolio Product Marketing at Dell EMC. Brian, good to have you both. >> Thank you >> Cube, rookies right? This is your-- >> I'm a rookie. >> First-timer >> Your debut, right? >> Yes >> First-timer >> Glad to break you in that way. It's good to have you here. Let's talk about the show. Just first off. Because we are starting to wind down, just a little bit. But you know strong attendance. I've been out on the solutions expo floor, that's really cool. A lot of great stuff going on out there. So the two of you what's your take on what you've seen here over the last three days? >> Yeah, I think there's a lot of transformation, right? It's all about transformation I think we're seeing that across the industry overall. Everything is changing everything is connected. It's all about apps these days. It's all about digitizing your business. Anywhere you can add technology to really add that element of your technology and digital modernization to your business. It's really starting to take shape, I think. A couple of years back, we were talking it but it wasn't really happening. And now we're seeing this huge trend towards everybody is actually starting to do it. >> John: Making it real, right? >> We're making it real. >> Alright Susan what do you think? >> So, I think he summarized it really well, I would just add to that automation and intelligence. Looking for systems to provide the insights and intelligence about the environment and simplify people's work. >> Brian and Susan, since it is your first time on the program tell us a little bit about what you've worked on. I've got some history with you, you're both what we call legacy EMC now, I guess. Like myself, I never worked for Dell EMC but I did work for a company that used to be called EMC. >> Absolutely, yeah we go way back Stu and I. Right now we're seeing a lot of sensible decisions being made. I'd say if you go way back, There was just a lot of things happening, there was a lot of a lot of smart moves being made these days. Michael Dell obviously made a huge investment in picking up EMC and for a lot of us, it's super exciting to see kind of it come together and there's been a lot of changes a lot of investments in the technologies of the future. Things like Cloud IQ which we're going to talk about. But it's been really fun. >> Great and Susan, what projects are you working on these days? >> So, Cloud IQ is my primary focus. As we talk more about the product I'll give some examples. But, we started with Cloud IQ very focused on one particular storage platform and now what we're looking at doing is expanding that across multiple platforms. So I get to be singularly focused on the Cloud IQ, but looking at it spanning across multiple platforms. >> I attended an event that Dell held towards the end of last year, they called it IQT and it was IOT with intelligence put together and some of us the analysts it was like okay, I see what you're doing but IOT everybody knows. Cloud IQ I think there's intelligence built into it. One of the themes, I've actually been looking this week, we've talked about intelligent storage, and intelligent management for a couple of decades in our industry but maybe explain a little bit more about the product and why is this actually intelligent now. No offense to the things we've tried in the past (Susan laughs) >> Susan: Sure >> But definitely, to your point Brian, it feels a little more real some of these things we're talking about. >> Yeah, absolutely so if you see what's going on with the industry today, everybody's connecting things and you know we've been collecting a lot of data in a very secure way from our customers for years. Just until recently we started to kind of talk about that and market that capability. It's really exciting what we can do with it. We make sure and we honor each customer their privacy rights, of course. But you're able to do a lot of in-depth analysis, collection We're able to look for anomalies in the system. So, the analogy I like to use is like a Fitbit for storage. It's not just storage, so we're kind of starting at storage which is the exciting part we're starting with unity we're now directed availability on the SC series which was formerly Compellent and then we're going to expand that to VMAX we're going to expand that to Xtremio so we're going to go cross portfolio with that and, can we talk about virtualization? >> Sure >> So we're going to expand into the vmware layer as well. So we're going to really start with a discrete use case we've got what, over 3,500 arrays already connected today. We're adding about 100 per week So, it's really exciting to see the data that we're able to get. We give it back to our customers and partners actually, so a lot of our key partners they want to be able to act as that intermediary for their customer and give them guidance on what to do. So, we've opened that up. >> Let me get into the Fitbit analogy. So what is the health that we're looking at there because we could all relate to that, right? We're looking at my pulse and blood pressure, all those things so what's the pulse and the blood pressure inside stories that you're looking at? >> A perfect lead in, so you talk about the typical metrics from a Fitbit in terms of the human body. The metrics that we're looking at in terms of the health and the categories that we're looking at are the typical things that you would care about in terms of your storage environment. So the things like data protection, are you maintaining your data protection windows and recovery point objectives and ensuring that your data is being protected the way that you expect. Things like capacity and ensuring that you are not at an imminent risk of running out of capacity. Nobody likes that phone call at two in the morning so being able to be proactive about indicating when storage administrators need to start taking action to be able to prevent that call at two in the morning. So some of those areas are where we're looking at our health score. >> Susan, I think back years ago EMC was one of the leaders in doing some of this. It was the phone home capability and we understood what was there. Customers always say, "Oh! The tech showed up with some part "that was ready to fail before we even knew." How is this different? What's this update? How did this change really how businesses are working when it comes to everything? >> I'm glad you lead with that because I think it's really important as a side note to emphasize that that is the foundation and has been the foundation for proactive health for many years. Now what we're doing is we're adding on additional areas of focus like the example that I gave for the data protection. That wouldn't result in the phone home necessarily and it doesn't need to result in the storage engineer showing up or the drive showing up at the door. Instead we can proactively alert our storage administrators to the fact, again, that their data is not being protected with the service level that they expect, and then provide that clear remediation about what they need to do to bring those into that compliance. So instead of break/fix type things, it's more about how they can better optimize their environment to be able to meet the goals that they have. >> When you're talking about support these days I mean that games changing right? >> Absolutely >> And so, as you develop new capabilities and new evaluation tools I mean your service in general, the support your giving, you've got to come out with almost like a new paradigm is it not? How is that changing in your world now? >> So, we see that I mean Susan talked about what we've done in the past how we're changing it and now it's, I go back to analogies right? So you used to go to the doctor when you got sick now it's all about wellness so you're encouraged to go a little more often to get a checkup, so we're doing the same types of things. We give health scores on a range of zero to 100 and we're able to drill in to those specific parameters that Susan talked about to be able to show people how to kind of set up a best practices environment. So we're really starting to get a lot more proactive about how people can understand the health of their system. We now have an app so people can actually check it out remotely. You could be on a beach somewhere on your vacation and you don't have to worry about your system because you can quickly scan it, and check in on the status of your system. So that's what I think people want, they want more access to things so they're able to proactively understand it instead of react and it's all crazy. >> Let me ask you about the number let's just pretend 85, I got 85 whatever, is that telling me that I'm doing something wrong? Or that something has gone wrong within the system? I mean, what is that telling me exactly about what irregularity has occurred? Is it because of something by commission, or is it omission and I've got a systemic problem? >> Well that's a great question. It could be any of those things, right? So, one of the main things that we're looking at, I gave the example, for instance, of a storage pool that is already oversubscribed because we have great efficiencies on our storage systems. But if that pool is oversubscribed and is starting to reach using our predictive analytics we can identify when that pool is starting to reach full capacity starting within a quarter. And so, by being able to look at that it may be that a storage administrator provisioned more storage in a given pool than was intended. But it may just be that the storage ended up being consumed faster than what was expected by everyone involved. So, it's not necessarily that someone did something wrong per se, but it's that it's now time to pay attention take action be proactive and alleviate the risk. >> I got you. >> Brian, walk us through just some of the basics of this product itself. >> Brian: Sure >> Is it something stand alone? Is it part of a maintenance package? >> Brian: Yeah yeah yeah >> Available today? How many customers are using this? >> Sure, so the product became available in kind of an early release capacity when we announced Unity two years back. Since then it's grown over 3,500 array. We're probably up around 4,000 arrays now. And we keep adding about 100 per week. The product is built with our own pivotal cloud foundry so it can be kind of ported across multiple different clouds it lives in the cloud and so you can access it anywhere, and what you're able to do is quickly get the health score. So it's plugged into your system, the back-end is also plugged into our big data lake so we're understanding what's happening across multiple systems, but we give specific guidance to each system. It's going to be really really valuable when we span it across the entire portfolio. Because then you'll get this dashboard kind of health score across the entire environment and you're basically looking at the dashboard of systems and you'll see kind of the red, yellow, green type markings of what to do next. Like Susan said, you're not going to find out everything just from that number, you'll drill in and what they've done is they've programmed in remediation tips for each one. So you're able to start really kind of high level and then drill into each component after that. >> Does that come with unities? Is it a SaaS offering? >> Comes free with that. It's SaaS offering that comes with that. >> Great, so maybe Susan walk us through this expansion that we've talked a little bit about. Once it's on the next platform everybody that has the platform gets it? >> Everybody has access to that, so Cloud IQ, one thing I want to add and I will get to that in just a moment is the benefit this is probably obvious already but the benefit of the fact that it is hosted in the cloud means that customers don't have anything to deploy and just like your smart phone, you get all of the latest upgrades with no effort at all. And we have a little "What's new in Cloud IQ" feature that you can always be up to date. So, the process is this it's very simple once the customer sets up the storage system and then the secure pipe, so secure remote services for heritage EMC products and support assist for the SC series bringing that data into the data lake then at that point the customer simply logs onto CloudIQ.DellEMC.com supply us their support credentials and they will see the systems that are being managed by Cloud IQ. And if I may just add another thing, we were talking about the proactive health score that is based on rules and best practices from the subject matter experts for each platform and those scans, those health checks start running within the first hour of the systems being in Cloud IQ so you're automatically, customer's are automatically getting the benefit of Cloud IQ. Excuse me. >> So, is it self-fix then? I mean, if I see red do I have the tools to get to yellow get to green? Or do I-- (stammers) What do I do? Do I call you? Or am I equipped enough that I can plug the leak myself? >> Absolutely, I'd say most of the issues are best practices recommendations. So you'll be able to get in there and see alright, uh something happened. Let's go back to the health analogy. If your resting heart rate is 75 and then one day it's all of a sudden 125, there's probably an issue, right? So that's uh that's a bad health score. >> Right, that's a red. (Susan laughs) >> That's a red flag what you need to do is probably get a little more exercise or maybe there's something stressing you out. That's kind of a similar analogy of what's happening. So, there's something in the system we have an anomaly prediction system that's part of this and so if you're normal IOPS pattern is a certain thing and then one day it's really really low or really high compared to the average we're also going to red flag that and we're going to tell you you ought to just look at what's happening in your environment. Most of the issues we're going to say, "Okay, you're running out of space. "There's a configuration issue. "Your network may not be hooked up just right "Go check it out and by the way, "based on your signature pattern "we're going to actually recommend what to do next." So we're collecting all these problem signatures and that's able to kind of get to a resolution very quickly. >> Yeah, Susan I know one of the things that people attending this show from the Dell EMC slide love the most get to talk to a lot of customers. So what kind of asks they're giving you, what kind of feedback they're giving you, what's on their wish list and you know, general feedback on Cloud IQ. >> The general feedback is more, faster. (laughs) We talked about the platforms that we're going to be adding in. There's a lot of enthusiasm about that. Those are based on asks from last year, so we are addressing those asks. And now that they see the momentum, they're wanting us to continue that momentum and continue to expand work Cloud IQ will be applied. I would say, hands down, that's the biggest request. And I love that request! I would love to see Cloud IQ expand as much as possible. >> Well here's to wishing 100s across the board for everybody's score card. Nothing but green, right? That's all we want. (Susan laughs) >> Brian: Absolutely >> Thanks for joining us. >> Thank you >> John: We appreciate the time and the insight. >> Thank you very much >> John: Fitbit for your IT operations All right back with more you are watching theCUBE here we are live at Dell Technologies World 2018 and we're in Las Vegas. (upbeat music)

>>Alteryx is a company with a long history that goes all the way back to the late 1990s. Now the one consistent theme over 20 plus years has been that Ultrix has always been a data company early in the big data and Hadoop cycle. It saw the need to combine and prep different data types so that organizations could analyze data and take action Altrix and similar companies played a critical role in helping companies become data-driven. The problem was the decade of big data, brought a lot of complexities and required immense skills just to get the technology to work as advertised this in turn limited, the pace of adoption and the number of companies that could really lean in and take advantage of the cloud began to change all that and set the foundation for today's theme to Zuora of digital transformation. We hear that phrase a ton digital transformation. >>People used to think it was a buzzword, but of course we learned from the pandemic that if you're not a digital business, you're out of business and a key tenant of digital transformation is democratizing data, meaning enabling, not just hypo hyper specialized experts, but anyone business users to put data to work. Now back to Ultrix, the company has embarked on a major transformation of its own. Over the past couple of years, brought in new management, they've changed the way in which it engaged with customers with the new subscription model and it's topgraded its talent pool. 2021 was even more significant because of two acquisitions that Altrix made hyper Ana and trifecta. Why are these acquisitions important? Well, traditionally Altryx sold to business analysts that were part of the data pipeline. These were fairly technical people who had certain skills and were trained in things like writing Python code with hyper Ana Altryx has added a new persona, the business user, anyone in the business who wanted to gain insights from data and, or let's say use AI without having to be a deep technical expert. >>And then Trifacta a company started in the early days of big data by cube alum, Joe Hellerstein and his colleagues at Berkeley. They knocked down the data engineering persona, and this gives Altryx a complimentary extension into it where things like governance and security are paramount. So as we enter 2022, the post isolation economy is here and we do so with a digital foundation built on the confluence of cloud native technologies, data democratization and machine intelligence or AI, if you prefer. And Altryx is entering that new era with an expanded portfolio, new go-to market vectors, a recurring revenue business model, and a brand new outlook on how to solve customer problems and scale a company. My name is Dave Vellante with the cube and I'll be your host today. And the next hour, we're going to explore the opportunities in this new data market. And we have three segments where we dig into these trends and themes. First we'll talk to Jay Henderson, vice president of product management at Ultrix about cloud acceleration and simplifying complex data operations. Then we'll bring in Suresh Vetol who's the chief product officer at Altrix and Adam Wilson, the CEO of Trifacta, which of course is now part of Altrix. And finally, we'll hear about how Altryx is partnering with snowflake and the ecosystem and how they're integrating with data platforms like snowflake and what this means for customers. And we may have a few surprises sprinkled in as well into the conversation let's get started. >>We're kicking off the program with our first segment. Jay Henderson is the vice president of product management Altryx and we're going to talk about the trends and data, where we came from, how we got here, where we're going. We get some launch news. Well, Jay, welcome to the cube. >>Great to be here, really excited to share some of the things we're working on. >>Yeah. Thank you. So look, you have a deep product background, product management, product marketing, you've done strategy work. You've been around software and data, your entire career, and we're seeing the collision of software data cloud machine intelligence. Let's start with the customer and maybe we can work back from there. So if you're an analytics or data executive in an organization, w J what's your north star, where are you trying to take your company from a data and analytics point of view? >>Yeah, I mean, you know, look, I think all organizations are really struggling to get insights out of their data. I think one of the things that we see is you've got digital exhaust, creating large volumes of data storage is really cheap, so it doesn't cost them much to keep it. And that results in a situation where the organization's, you know, drowning in data, but somehow still starving for insights. And so I think, uh, you know, when I talk to customers, they're really excited to figure out how they can put analytics in the hands of every single person in their organization, and really start to democratize the analytics, um, and, you know, let the, the business users and the whole organization get value out of all that data they have. >>And we're going to dig into that throughout this program data, I like to say is plentiful insights, not always so much. Tell us about your launch today, Jay, and thinking about the trends that you just highlighted, the direction that your customers want to go and the problems that you're solving, what role does the cloud play in? What is what you're launching? How does that fit in? >>Yeah, we're, we're really excited today. We're launching the Altryx analytics cloud. That's really a portfolio of cloud-based solutions that have all been built from the ground up to be cloud native, um, and to take advantage of things like based access. So that it's really easy to give anyone access, including folks on a Mac. Um, it, you know, it also lets you take advantage of elastic compute so that you can do, you know, in database processing and cloud native, um, solutions that are gonna scale to solve the most complex problems. So we've got a portfolio of solutions, things like designer cloud, which is our flagship designer product in a browser and on the cloud, but we've got ultra to machine learning, which helps up-skill regular old analysts with advanced machine learning capabilities. We've got auto insights, which brings a business users into the fold and automatically unearths insights using AI and machine learning. And we've got our latest edition, which is Trifacta that helps data engineers do data pipelining and really, um, you know, create a lot of the underlying data sets that are used in some of this, uh, downstream analytics. >>Let's dig into some of those roles if we could a little bit, I mean, you've traditionally Altryx has served the business analysts and that's what designer cloud is fit for, I believe. And you've explained, you know, kind of the scope, sorry, you've expanded that scope into the, to the business user with hyper Anna. And we're in a moment we're going to talk to Adam Wilson and Suresh, uh, about Trifacta and that recent acquisition takes you, as you said, into the data engineering space in it. But in thinking about the business analyst role, what's unique about designer cloud cloud, and how does it help these individuals? >>Yeah, I mean, you know, really, I go back to some of the feedback we've had from our customers, which is, um, you know, they oftentimes have dozens or hundreds of seats of our designer desktop product, you know, really, as they look to take the next step, they're trying to figure out how do I give access to that? Those types of analytics to thousands of people within the organization and designer cloud is, is really great for that. You've got the browser-based interface. So if folks are on a Mac, they can really easily just pop, open the browser and get access to all of those, uh, prep and blend capabilities to a lot of the analysis we're doing. Um, it's a great way to scale up access to the analytics and then start to put it in the hands of really anyone in the organization, not just those highly skilled power users. >>Okay, great. So now then you add in the hyper Anna acquisition. So now you're targeting the business user Trifacta comes into the mix that deeper it angle that we talked about, how does this all fit together? How should we be thinking about the new Altryx portfolio? >>Yeah, I mean, I think it's pretty exciting. Um, you know, when you think about democratizing analytics and providing access to all these different groups of people, um, you've not been able to do it through one platform before. Um, you know, it's not going to be one interface that meets the, of all these different groups within the organization. You really do need purpose built specialized capabilities for each group. And finally, today with the announcement of the alternates analytics cloud, we brought together all of those different capabilities, all of those different interfaces into a single in the end application. So really finally delivering on the promise of providing analytics to all, >>How much of this you've been able to share with your customers and maybe your partners. I mean, I know OD is fairly new, but if you've been able to get any feedback from them, what are they saying about it? >>Uh, I mean, it's, it's pretty amazing. Um, we ran a early access, limited availability program that led us put a lot of this technology in the hands of over 600 customers, um, over the last few months. So we have gotten a lot of feedback. I tell you, um, it's been overwhelmingly positive. I think organizations are really excited to unlock the insights that have been hidden in all this data. They've got, they're excited to be able to use analytics in every decision that they're making so that the decisions they have or more informed and produce better business outcomes. Um, and, and this idea that they're going to move from, you know, dozens to hundreds or thousands of people who have access to these kinds of capabilities, I think has been a really exciting thing that is going to accelerate the transformation that these customers are on. >>Yeah, those are good. Good, good numbers for, for preview mode. Let's, let's talk a little bit about vision. So it's democratizing data is the ultimate goal, which frankly has been elusive for most organizations over time. How's your cloud going to address the challenges of putting data to work across the entire enterprise? >>Yeah, I mean, I tend to think about the future and some of the investments we're making in our products and our roadmap across four big themes, you know, in the, and these are really kind of enduring themes that you're going to see us making investments in over the next few years, the first is having cloud centricity. You know, the data gravity has been moving to the cloud. We need to be able to provide access, to be able to ingest and manipulate that data, to be able to write back to it, to provide cloud solution. So the first one is really around cloud centricity. The second is around big data fluency. Once you have all of the data, you need to be able to manipulate it in a performant manner. So having the elastic cloud infrastructure and in database processing is so important, the third is around making AI a strategic advantage. >>So, uh, you know, getting everyone involved and accessing AI and machine learning to unlock those insights, getting it out of the hands of the small group of data scientists, putting it in the hands of analysts and business users. Um, and then the fourth thing is really providing access across the entire organization. You know, it and data engineers, uh, as well as business owners and analysts. So, um, cloud centricity, big data fluency, um, AI is a strategic advantage and, uh, personas across the organization are really the four big themes you're going to see us, uh, working on over the next few months and, uh, coming coming year. >>That's good. Thank you for that. So, so on a related question, how do you see the data organizations evolving? I mean, traditionally you've had, you know, monolithic organizations, uh, very specialized or I might even say hyper specialized roles and, and your, your mission of course is the customer. You, you, you, you and your customers, they want to democratize the data. And so it seems logical that domain leaders are going to take more responsibility for data, life cycles, data ownerships, low code becomes more important. And perhaps this kind of challenges, the historically highly centralized and really specialized roles that I just talked about. How do you see that evolving and, and, and what role will Altryx play? >>Yeah. Um, you know, I think we'll see sort of a more federated systems start to emerge. Those centralized groups are going to continue to exist. Um, but they're going to start to empower, you know, in a much more de-centralized way, the people who are closer to the business problems and have better business understanding. I think that's going to let the centralized highly skilled teams work on, uh, problems that are of higher value to the organization. The kinds of problems where one or 2% lift in the model results in millions of dollars a day for the business. And then by pushing some of the analytics out to, uh, closer to the edge and closer to the business, you'll be able to apply those analytics in every single decision. So I think you're going to see, you know, both the decentralized and centralized models start to work in harmony and a little bit more about almost a federated sort of a way. And I think, you know, the exciting thing for us at Altryx is, you know, we want to facilitate that. We want to give analytic capabilities and solutions to both groups and types of people. We want to help them collaborate better, um, and drive business outcomes with the analytics they're using. >>Yeah. I mean, I think my take on another one, if you could comment is to me, the technology should be an operational detail and it has been the, the, the dog that wags the tail, or maybe the other way around, you mentioned digital exhaust before. I mean, essentially it's digital exhaust coming out of operationals systems that then somehow, eventually end up in the hand of the domain users. And I wonder if increasingly we're going to see those domain users, users, those, those line of business experts get more access. That's your goal. And then even go beyond analytics, start to build data products that could be monetized, and that maybe it's going to take a decade to play out, but that is sort of a new era of data. Do you see it that way? >>Absolutely. We're actually making big investments in our products and capabilities to be able to create analytic applications and to enable somebody who's an analyst or business user to create an application on top of the data and analytics layers that they have, um, really to help democratize the analytics, to help prepackage some of the analytics that can drive more insights. So I think that's definitely a trend we're going to see more. >>Yeah. And to your point, if you can federate the governance and automate that, then that can happen. I mean, that's a key part of it, obviously. So, all right, Jay, we have to leave it there up next. We take a deep dive into the Altryx recent acquisition of Trifacta with Adam Wilson who led Trifacta for more than seven years. It's the recipe. Tyler is the chief product officer at Altryx to explain the rationale behind the acquisition and how it's going to impact customers. Keep it right there. You're watching the cube. You're a leader in enterprise tech coverage. >>It's go time, get ready to accelerate your data analytics journey with a unified cloud native platform. That's accessible for everyone on the go from home to office and everywhere in between effortless analytics to help you go from ideas to outcomes and no time. It's your time to shine. It's Altryx analytics cloud time. >>Okay. We're here with. Who's the chief product officer at Altryx and Adam Wilson, the CEO of Trifacta. Now of course, part of Altryx just closed this quarter. Gentlemen. Welcome. >>Great to be here. >>Okay. So let me start with you. In my opening remarks, I talked about Altrix is traditional position serving business analysts and how the hyper Anna acquisition brought you deeper into the business user space. What does Trifacta bring to your portfolio? Why'd you buy the company? >>Yeah. Thank you. Thank you for the question. Um, you know, we see, uh, we see a massive opportunity of helping, um, brands, um, democratize the use of analytics across their business. Um, every knowledge worker, every individual in the company should have access to analytics. It's no longer optional, um, as they navigate their businesses with that in mind, you know, we know designer and are the products that Altrix has been selling the past decade or so do a really great job, um, addressing the business analysts, uh, with, um, hyper Rana now kind of renamed, um, Altrix auto. We even speak with the business owner and the line of business owner. Who's looking for insights that aren't real in traditional dashboards and so on. Um, but we see this opportunity of really helping the data engineering teams and it organizations, um, to also make better use of analytics. Um, and that's where the drive factor comes in for us. Um, drive factor has the best data engineering cloud in the planet. Um, they have an established track record of working across multiple cloud platforms and helping data engineers, um, do better data pipelining and work better with, uh, this massive kind of cloud transformation that's happening in every business. Um, and so fact made so much sense for us. >>Yeah. Thank you for that. I mean, you, look, you could have built it yourself would have taken, you know, who knows how long, you know, but, uh, so definitely a great time to market move, Adam. I wonder if we could dig into Trifacta some more, I mean, I remember interviewing Joe Hellerstein in the early days. You've talked about this as well, uh, on the cube coming at the problem of taking data from raw refined to an experience point of view. And Joe in the early days, talked about flipping the model and starting with data visualization, something Jeff, her was expert at. So maybe explain how we got here. We used to have this cumbersome process of ETL and you may be in some others changed that model with ELL and then T explain how Trifacta really changed the data engineering game. >>Yeah, that's exactly right. Uh, David, it's been a really interesting journey for us because I think the original hypothesis coming out of the campus research, uh, at Berkeley and Stanford that really birth Trifacta was, you know, why is it that the people who know the data best can't do the work? You know, why is this become the exclusive purview of the highly technical? And, you know, can we rethink this and make this a user experience, problem powered by machine learning that will take some of the more complicated things that people want to do with data and really help to automate those. So, so a broader set of, of users can, um, can really see for themselves and help themselves. And, and I think that, um, there was a lot of pent up frustration out there because people have been told for, you know, for a decade now to be more data-driven and then the whole time they're saying, well, then give me the data, you know, in the shape that I could use it with the right level of quality and I'm happy to be, but don't tell me to be more data-driven and then, and, and not empower me, um, to, to get in there and to actually start to work with the data in meaningful ways. >>And so, um, that was really, you know, what, you know, the origin story of the company and I think is, as we, um, saw over the course of the last 5, 6, 7 years that, um, you know, uh, real, uh, excitement to embrace this idea of, of trying to think about data engineering differently, trying to democratize the, the ETL process and to also leverage all these exciting new, uh, engines and platforms that are out there that allow for processing, you know, ever more diverse data sets, ever larger data sets and new and interesting ways. And that's where a lot of the push-down or the ELT approaches that, you know, I think it could really won the day. Um, and that, and that for us was a hallmark of the solution from the very beginning. >>Yeah, this is a huge point that you're making is, is first of all, there's a large business, it's probably about a hundred billion dollar Tam. Uh, and the, the point you're making, because we've looked, we've contextualized most of our operational systems, but the big data pipeline is hasn't gotten there. But, and maybe we could talk about that a little bit because democratizing data is Nirvana, but it's been historically very difficult. You've got a number of companies it's very fragmented and they're all trying to attack their little piece of the problem to achieve an outcome, but it's been hard. And so what's going to be different about Altryx as you bring these puzzle pieces together, how is this going to impact your customers who would like to take that one? >>Yeah, maybe, maybe I'll take a crack at it. And Adam will, um, add on, um, you know, there hasn't been a single platform for analytics, automation in the enterprise, right? People have relied on, uh, different products, um, to solve kind of, uh, smaller problems, um, across this analytics, automation, data transformation domain. Um, and, um, I think uniquely Alcon's has that opportunity. Uh, we've got 7,000 plus customers who rely on analytics for, um, data management, for analytics, for AI and ML, uh, for transformations, uh, for reporting and visualization for automated insights and so on. Um, and so by bringing drive factor, we have the opportunity to scale this even further and solve for more use cases, expand the scenarios where it's applied and so multiple personas. Um, and we just talked about the data engineers. They are really a growing stakeholder in this transformation of data and analytics. >>Yeah, good. Maybe we can stay on this for a minute cause you, you you're right. You bring it together. Now at least three personas the business analyst, the end user slash business user. And now the data engineer, which is really out of an it role in a lot of companies, and you've used this term, the data engineering cloud, what is that? How is it going to integrate in with, or support these other personas? And, and how's it going to integrate into the broader ecosystem of clouds and cloud data warehouses or any other data stores? >>Yeah, no, that's great. Uh, yeah, I think for us, we really looked at this and said, you know, we want to build an open and interactive cloud platform for data engineers, you know, to collaboratively profile pipeline, um, and prepare data for analysis. And that really meant collaborating with the analysts that were in the line of business. And so this is why a big reason why this combination is so magic because ultimately if we can get the data engineers that are creating the data products together with the analysts that are in the line of business that are driving a lot of the decision making and allow for that, what I would describe as collaborative curation of the data together, so that you're starting to see, um, uh, you know, increasing returns to scale as this, uh, as this rolls out. I just think that is an incredibly powerful combination and, and frankly, something that the market is not crack the code on yet. And so, um, I think when we, when I sat down with Suresh and with mark and the team at Ultrix, that was really part of the, the, the big idea, the big vision that was painted and got us really energized about the acquisition and about the potential of the combination. >>And you're really, you're obviously writing the cloud and the cloud native wave. Um, and, but specifically we're seeing, you know, I almost don't even want to call it a data warehouse anyway, because when you look at what's, for instance, Snowflake's doing, of course their marketing is around the data cloud, but I actually think there's real justification for that because it's not like the traditional data warehouse, right. It's, it's simplified get there fast, don't necessarily have to go through the central organization to share data. Uh, and, and, and, but it's really all about simplification, right? Isn't that really what the democratization comes down to. >>Yeah. It's simplification and collaboration. Right. I don't want to, I want to kind of just what Adam said resonates with me deeply. Um, analytics is one of those, um, massive disciplines inside an enterprise that's really had the weakest of tools. Um, and we just have interfaces to collaborate with, and I think truly this was all drinks and a superpower was helping the analysts get more out of their data, get more out of the analytics, like imagine a world where these people are collaborating and sharing insights in real time and sharing workflows and getting access to new data sources, um, understanding data models better, I think, um, uh, curating those insights. I boring Adam's phrase again. Um, I think that creates a real value inside the organization because frankly in scaling analytics and democratizing analytics and data, we're still in such early phases of this journey. >>So how should we think about designer cloud, which is from Altrix it's really been the on-prem and the server desktop offering. And of course Trifacta is with cloud cloud data warehouses. Right. Uh, how, how should we think about those two products? Yeah, >>I think, I think you should think about them. And, uh, um, as, as very complimentary right designer cloud really shares a lot of DNA and heritage with, uh, designer desktop, um, the low code tooling and that interface, uh, the really appeals to the business analysts, um, and gets a lot of the things that they do well, we've also built it with interoperability in mind, right. So if you started building your workflows in designer desktop, you want to share that with design and cloud, we want to make it super easy for you to do that. Um, and I think over time now we're only a week into, um, this Alliance with, um, with, um, Trifacta, um, I think we have to get deeper inside to think about what does the data engineer really need? What's the business analysts really need and how to design a cloud, and Trifacta really support both of those requirements, uh, while kind of continue to build on the trifecta on the amazing Trifacta cloud platform. >>You know, >>I think we're just going to say, I think that's one of the things that, um, you know, creates a lot of, uh, opportunity as we go forward, because ultimately, you know, Trifacta took a platform, uh, first mentality to everything that we built. So thinking about openness and extensibility and, um, and how over time people could build things on top of factor that are a variety of analytic tool chain, or analytic applications. And so, uh, when you think about, um, Ultrix now starting to, uh, to move some of its capabilities or to provide additional capabilities, uh, in the cloud, um, you know, Trifacta becomes a platform that can accelerate, you know, all of that work and create, uh, uh, a cohesive set of, of cloud-based services that, um, share a common platform. And that maintains independence because both companies, um, have been, uh, you know, fiercely independent, uh, and, and really giving people choice. >>Um, so making sure that whether you're, uh, you know, picking one cloud platform and other, whether you're running things on the desktop, uh, whether you're running in hybrid environments, that, um, no matter what your decision, um, you're always in a position to be able to get out your data. You're always in a position to be able to cleanse transform shape structure, that data, and ultimately to deliver, uh, the analytics that you need. And so I think in that sense, um, uh, you know, this, this again is another reason why the combination, you know, fits so well together, giving people, um, the choice. Um, and as they, as they think about their analytics strategy and their platform strategy going forward, >>Yeah. I make a chuckle, but one of the reasons I always liked Altrix is cause you kinda did the little end run on it. It can be a blocker sometimes, but that created problems, right? Because the organization said, wow, this big data stuff has taken off, but we need security. We need governance. And it's interesting because you've got, you know, ETL has been complex, whereas the visualization tools, they really, you know, really weren't great at governance and security. It took some time there. So that's not, not their heritage. You're bringing those worlds together. And I'm interested, you guys just had your sales kickoff, you know, what was their reaction like? Uh, maybe Suresh, you could start off and maybe Adam, you could bring us home. >>Um, thanks for asking about our sales kickoff. So we met for the first time and you've got a two years, right. For, as, as it is for many of us, um, in person, uh, um, which I think was a, was a real breakthrough as Qualtrics has been on its transformation journey. Uh, we added a Trifacta to, um, the, the potty such as the tour, um, and getting all of our sales teams and product organizations, um, to meet in person in one location. I thought that was very powerful for other the company. Uh, but then I tell you, um, um, the reception for Trifacta was beyond anything I could have imagined. Uh, we were working out him and I will, when he's so hot on, on the deal and the core hypotheses and so on. And then you step back and you're going to share the vision with the field organization, and it blows you away, the energy that it creates among our sellers out of partners. >>And I'm sure Madam will and his team were mocked, um, every single day, uh, with questions and opportunities to bring them in. But Adam, maybe you should share. Yeah, no, it was, uh, it was through the roof. I mean, uh, uh, the, uh, the amount of energy, the, uh, certainly how welcoming everybody was, uh, uh, you know, just, I think the story makes so much sense together. I think culturally, the company is, are very aligned. Um, and, uh, it was a real, uh, real capstone moment, uh, to be able to complete the acquisition and to, and to close and announced, you know, at the kickoff event. And, um, I think, you know, for us, when we really thought about it, you know, when we ended, the story that we told was just, you have this opportunity to really cater to what the end users care about, which is a lot about interactivity and self-service, and at the same time. >>And that's, and that's a lot of the goodness that, um, that Altryx is, has brought, you know, through, you know, you know, years and years of, of building a very vibrant community of, you know, thousands, hundreds of thousands of users. And on the other side, you know, Trifacta bringing in this data engineering focus, that's really about, uh, the governance things that you mentioned and the openness, um, that, that it cares deeply about. And all of a sudden, now you have a chance to put that together into a complete story where the data engineering cloud and analytics, automation, you know, coming together. And, um, and I just think, you know, the lights went on, um, you know, for people instantaneously and, you know, this is a story that, um, that I think the market is really hungry for. And certainly the reception we got from, uh, from the broader team at kickoff was, uh, was a great indication. >>Well, I think the story hangs together really well, you know, one of the better ones I've seen in, in this space, um, and, and you guys coming off a really, really strong quarter. So congratulations on that jets. We have to leave it there. I really appreciate your time today. Yeah. Take a look at this short video. And when we come back, we're going to dig into the ecosystem and the integration into cloud data warehouses and how leading organizations are creating modern data teams and accelerating their digital businesses. You're watching the cube you're leader in enterprise tech coverage. >>This is your data housed neatly insecurely in the snowflake data cloud. And all of it has potential the potential to solve complex business problems, deliver personalized financial offerings, protect supply chains from disruption, cut costs, forecast, grow and innovate. All you need to do is put your data in the hands of the right people and give it an opportunity. Luckily for you. That's the easy part because snowflake works with Alteryx and Alteryx turns data into breakthroughs with just a click. Your organization can automate analytics with drag and drop building blocks, easily access snowflake data with both sequel and no SQL options, share insights, powered by Alteryx data science and push processing to snowflake for lightning, fast performance, you get answers you can put to work in your teams, get repeatable processes they can share in that's exciting because not only is your data no longer sitting around in silos, it's also mobilized for the next opportunity. Turn your data into a breakthrough Alteryx and snowflake >>Okay. We're back here in the queue, focusing on the business promise of the cloud democratizing data, making it accessible and enabling everyone to get value from analytics, insights, and data. We're now moving into the eco systems segment the power of many versus the resources of one. And we're pleased to welcome. Barb Hills camp was the senior vice president partners and alliances at Ultrix and a special guest Terek do week head of technology alliances at snowflake folks. Welcome. Good to see you. >>Thank you. Thanks for having me. Good to see >>Dave. Great to see you guys. So cloud migration, it's one of the hottest topics. It's the top one of the top initiatives of senior technology leaders. We have survey data with our partner ETR it's number two behind security, and just ahead of analytics. So we're hovering around all the hot topics here. Barb, what are you seeing with respect to customer, you know, cloud migration momentum, and how does the Ultrix partner strategy fit? >>Yeah, sure. Partners are central company's strategy. They always have been. We recognize that our partners have deep customer relationships. And when you connect that with their domain expertise, they're really helping customers on their cloud and business transformation journey. We've been helping customers achieve their desired outcomes with our partner community for quite some time. And our partner base has been growing an average of 30% year over year, that partner community and strategy now addresses several kinds of partners, spanning solution providers to global SIS and technology partners, such as snowflake and together, we help our customers realize the business promise of their journey to the cloud. Snowflake provides a scalable storage system altereds provides the business user friendly front end. So for example, it departments depend on snowflake to consolidate data across systems into one data cloud with Altryx business users can easily unlock that data in snowflake solving real business outcomes. Our GSI and solution provider partners are instrumental in providing that end to end benefit of a modern analytic stack in the cloud providing platform, guidance, deployment, support, and other professional services. >>Great. Let's get a little bit more into the relationship between Altrix and S in snowflake, the partnership, maybe a little bit about the history, you know, what are the critical aspects that we should really focus on? Barb? Maybe you could start an Interra kindly way in as well. >>Yeah, so the relationship started in 2020 and all shirts made a big bag deep with snowflake co-innovating and optimizing cloud use cases together. We are supporting customers who are looking for that modern analytic stack to replace an old one or to implement their first analytic strategy. And our joint customers want to self-serve with data-driven analytics, leveraging all the benefits of the cloud, scalability, accessibility, governance, and optimizing their costs. Um, Altrix proudly achieved. Snowflake's highest elite tier in their partner program last year. And to do that, we completed a rigorous third party testing process, which also helped us make some recommended improvements to our joint stack. We wanted customers to have confidence. They would benefit from high quality and performance in their investment with us then to help customers get the most value out of the destroyed solution. We developed two great assets. One is the officer starter kit for snowflake, and we coauthored a joint best practices guide. >>The starter kit contains documentation, business workflows, and videos, helping customers to get going more easily with an altered since snowflake solution. And the best practices guide is more of a technical document, bringing together experiences and guidance on how Altryx and snowflake can be deployed together. Internally. We also built a full enablement catalog resources, right? We wanted to provide our account executives more about the value of the snowflake relationship. How do we engage and some best practices. And now we have hundreds of joint customers such as Juniper and Sainsbury who are actively using our joint solution, solving big business problems much faster. >>Cool. Kara, can you give us your perspective on the partnership? >>Yeah, definitely. Dave, so as Barb mentioned, we've got this standing very successful partnership going back years with hundreds of happy joint customers. And when I look at the beginning, Altrix has helped pioneer the concept of self-service analytics, especially with use cases that we worked on with for, for data prep for BI users like Tableau and as Altryx has evolved to now becoming from data prep to now becoming a full end to end data science platform. It's really opened up a lot more opportunities for our partnership. Altryx has invested heavily over the last two years in areas of deep integration for customers to fully be able to expand their investment, both technologies. And those investments include things like in database pushed down, right? So customers can, can leverage that elastic platform, that being the snowflake data cloud, uh, with Alteryx orchestrating the end to end machine learning workflows Alteryx also invested heavily in snow park, a feature we released last year around this concept of data programmability. So all users were regardless of their business analysts, regardless of their data, scientists can use their tools of choice in order to consume and get at data. And now with Altryx cloud, we think it's going to open up even more opportunities. It's going to be a big year for the partnership. >>Yeah. So, you know, Terike, we we've covered snowflake pretty extensively and you initially solve what I used to call the, I still call the snake swallowing the basketball problem and cloud data warehouse changed all that because you had virtually infinite resources, but so that's obviously one of the problems that you guys solved early on, but what are some of the common challenges or patterns or trends that you see with snowflake customers and where does Altryx come in? >>Sure. Dave there's there's handful, um, that I can come up with today, the big challenges or trends for us, and Altrix really helps us across all of them. Um, there are three particular ones I'm going to talk about the first one being self-service analytics. If we think about it, every organization is trying to democratize data. Every organization wants to empower all their users, business users, um, you know, the, the technology users, but the business users, right? I think every organization has realized that if everyone has access to data and everyone can do something with data, it's going to make them competitively, give them a competitive advantage with Altrix is something we share that vision of putting that power in the hands of everyday users, regardless of the skillsets. So, um, with self-service analytics, with Ultrix designer they've they started out with self-service analytics as the forefront, and we're just scratching the surface. >>I think there was an analyst, um, report that shows that less than 20% of organizations are truly getting self-service analytics to their end users. Now, with Altryx going to Ultrix cloud, we think that's going to be a huge opportunity for us. Um, and then that opens up the second challenge, which is machine learning and AI, every organization is trying to get predictive analytics into every application that they have in order to be competitive in order to be competitive. Um, and with Altryx creating this platform so they can cater to both the everyday business user, the quote unquote, citizen data scientists, and making a code friendly for data scientists to be able to get at their notebooks and all the different tools that they want to use. Um, they fully integrated in our snow park platform, which I talked about before, so that now we get an end to end solution caring to all, all lines of business. >>And then finally this concept of data marketplaces, right? We, we created snowflake from the ground up to be able to solve the data sharing problem, the big data problem, the data sharing problem. And Altryx um, if we look at mobilizing your data, getting access to third-party datasets, to enrich with your own data sets, to enrich with, um, with your suppliers and with your partners, data sets, that's what all customers are trying to do in order to get a more comprehensive 360 view, um, within their, their data applications. And so with Altryx alterations, we're working on third-party data sets and marketplaces for quite some time. Now we're working on how do we integrate what Altrix is providing with the snowflake data marketplace so that we can enrich these workflows, these great, great workflows that Altrix writing provides. Now we can add third party data into that workflow. So that opens up a ton of opportunities, Dave. So those are three I see, uh, easily that we're going to be able to solve a lot of customer challenges with. >>So thank you for that. Terrick so let's stay on cloud a little bit. I mean, Altrix is undergoing a major transformation, big focus on the cloud. How does this cloud launch impact the partnership Terike from snowflakes perspective and then Barb, maybe, please add some color. >>Yeah, sure. Dave snowflake started as a cloud data platform. We saw our founders really saw the challenges that customers are having with becoming data-driven. And the biggest challenge was the complexity of having imagine infrastructure to even be able to do it, to get applications off the ground. And so we created something to be cloud-native. We created to be a SAS managed service. So now that that Altrix is moving to the same model, right? A cloud platform, a SAS managed service, we're just, we're just removing more of the friction. So we're going to be able to start to package these end to end solutions that are SAS based that are fully managed. So customers can, can go faster and they don't have to worry about all of the underlying complexities of, of, of stitching things together. Right? So, um, so that's, what's exciting from my viewpoint >>And I'll follow up. So as you said, we're investing heavily in the cloud a year ago, we had two pre desktop products, and today we have four cloud products with cloud. We can provide our users with more flexibility. We want to make it easier for the users to leverage their snowflake data in the Alteryx platform, whether they're using our beloved on-premise solution or the new cloud products were committed to that continued investment in the cloud, enabling our joint partner solutions to meet customer requirements, wherever they store their data. And we're working with snowflake, we're doing just that. So as customers look for a modern analytic stack, they expect that data to be easily accessible, right within a fast, secure and scalable platform. And the launch of our cloud strategy is a huge leap forward in making Altrix more widely accessible to all users in all types of roles, our GSI and our solution provider partners have asked for these cloud capabilities at scale, and they're excited to better support our customers, cloud and analytic >>Are. How about you go to market strategy? How would you describe your joint go to market strategy with snowflake? >>Sure. It's simple. We've got to work backwards from our customer's challenges, right? Driving transformation to solve problems, gain efficiencies, or help them save money. So whether it's with snowflake or other GSI, other partner types, we've outlined a joint journey together from recruit solution development, activation enablement, and then strengthening our go to market strategies to optimize our results together. We launched an updated partner program and within that framework, we've created new benefits for our partners around opportunity registration, new role based enablement and training, basically extending everything we do internally for our own go-to-market teams to our partners. We're offering partner, marketing resources and funding to reach new customers together. And as a matter of fact, we recently launched a fantastic video with snowflake. I love this video that very simply describes the path to insights starting with your snowflake data. Right? We do joint customer webinars. We're working on joint hands-on labs and have a wonderful landing page with a lot of assets for our customers. Once we have an interested customer, we engage our respective account managers, collaborating through discovery questions, proof of concepts really showcasing the desired outcome. And when you combine that with our partners technology or domain expertise, it's quite powerful, >>Dark. How do you see it? You'll go to market strategy. >>Yeah. Dave we've. Um, so we initially started selling, we initially sold snowflake as technology, right? Uh, looking at positioning the diff the architectural differentiators and the scale and concurrency. And we noticed as we got up into the larger enterprise customers, we're starting to see how do they solve their business problems using the technology, as well as them coming to us and saying, look, we want to also know how do you, how do you continue to map back to the specific prescriptive business problems we're having? And so we shifted to an industry focus last year, and this is an area where Altrix has been mature for probably since their inception selling to the line of business, right? Having prescriptive use cases that are particular to an industry like financial services, like retail, like healthcare and life sciences. And so, um, Barb talked about these, these starter kits where it's prescriptive, you've got a demo and, um, a way that customers can get off the ground and running, right? >>Cause we want to be able to shrink that time to market, the time to value that customers can watch these applications. And we want to be able to, to tell them specifically how we can map back to their business initiatives. So I see a huge opportunity to align on these industry solutions. As BARR mentioned, we're already doing that where we've released a few around financial services working in healthcare and retail as well. So that is going to be a way for us to allow customers to go even faster and start to map two lines of business with Alteryx. >>Great. Thanks Derek. Bob, what can we expect if we're observing this relationship? What should we look for in the coming year? >>A lot specifically with snowflake, we'll continue to invest in the partnership. Uh, we're co innovators in this journey, including snow park extensibility efforts, which Derek will tell you more about shortly. We're also launching these great news strategic solution blueprints, and extending that at no charge to our partners with snowflake, we're already collaborating with their retail and CPG team for industry blueprints. We're working with their data marketplace team to highlight solutions, working with that data in their marketplace. More broadly, as I mentioned, we're relaunching the ultra partner program designed to really better support the unique partner types in our global ecosystem, introducing new benefits so that with every partner, achievement or investment with ultra score, providing our partners with earlier access to benefits, um, I could talk about our program for 30 minutes. I know we don't have time. The key message here Alteryx is investing in our partner community across the business, recognizing the incredible value that they bring to our customers every day. >>Tarik will give you the last word. What should we be looking for from, >>Yeah, thanks. Thanks, Dave. As BARR mentioned, Altrix has been the forefront of innovating with us. They've been integrating into, uh, making sure again, that customers get the full investment out of snowflake things like in database push down that I talked about before that extensibility is really what we're excited about. Um, the ability for Ultrix to plug into this extensibility framework that we call snow park and to be able to extend out, um, ways that the end users can consume snowflake through, through sequel, which has traditionally been the way that you consume snowflake as well as Java and Scala, not Python. So we're excited about those, those capabilities. And then we're also excited about the ability to plug into the data marketplace to provide third party data sets, right there probably day sets in, in financial services, third party, data sets and retail. So now customers can build their data applications from end to end using ultrasound snowflake when the comprehensive 360 view of their customers, of their partners, of even their employees. Right? I think it's exciting to see what we're going to be able to do together with these upcoming innovations. Great >>Barb Tara, thanks so much for coming on the program, got to leave it right there in a moment, I'll be back with some closing thoughts in a summary, don't go away. >>1200 hours of wind tunnel testing, 30 million race simulations, 2.4 second pit stops make that 2.3. The sector times out the wazoo, whites are much of this velocity's pressures, temperatures, 80,000 components generating 11.8 billion data points and one analytics platform to make sense of it all. When McLaren needs to turn complex data into insights, they turn to Altryx Qualtrics analytics, automation, >>Okay, let's summarize and wrap up the session. We can pretty much agree the data is plentiful, but organizations continue to struggle to get maximum value out of their data investments. The ROI has been elusive. There are many reasons for that complexity data, trust silos, lack of talent and the like, but the opportunity to transform data operations and drive tangible value is immense collaboration across various roles. And disciplines is part of the answer as is democratizing data. This means putting data in the hands of those domain experts that are closest to the customer and really understand where the opportunity exists and how to best address them. We heard from Jay Henderson that we have all this data exhaust and cheap storage. It allows us to keep it for a long time. It's true, but as he pointed out that doesn't solve the fundamental problem. Data is spewing out from our operational systems, but much of it lacks business context for the data teams chartered with analyzing that data. >>So we heard about the trend toward low code development and federating data access. The reason this is important is because the business lines have the context and the more responsibility they take for data, the more quickly and effectively organizations are going to be able to put data to work. We also talked about the harmonization between centralized teams and enabling decentralized data flows. I mean, after all data by its very nature is distributed. And importantly, as we heard from Adam Wilson and Suresh Vittol to support this model, you have to have strong governance and service the needs of it and engineering teams. And that's where the trifecta acquisition fits into the equation. Finally, we heard about a key partnership between Altrix and snowflake and how the migration to cloud data warehouses is evolving into a global data cloud. This enables data sharing across teams and ecosystems and vertical markets at massive scale all while maintaining the governance required to protect the organizations and individuals alike. >>This is a new and emerging business model that is very exciting and points the way to the next generation of data innovation in the coming decade. We're decentralized domain teams get more facile access to data. Self-service take more responsibility for quality value and data innovation. While at the same time, the governance security and privacy edicts of an organization are centralized in programmatically enforced throughout an enterprise and an external ecosystem. This is Dave Volante. All these videos are available on demand@theqm.net altrix.com. Thanks for watching accelerating automated analytics in the cloud made possible by Altryx. And thanks for watching the queue, your leader in enterprise tech coverage. We'll see you next time.

>> Alteryx is a company with a long history that goes all the way back to the late 1990s. Now the one consistent theme over the past 20-plus years, however, is that Alteryx has always been a data company. Early in the big data and Hadoop cycle. It saw the need to combine and prep different data types, so that organizations could confidently analyze data and take action. Alteryx and similar companies played a critical role in helping, helping companies become, data driven. Alex, let me start over. Shit, sorry. Sorry, Leonard. Alteryx is a company with a long history that goes all the way back to the late 1990s. Now the one consistent theme over 20 plus years has been that Alteryx has always been a data company early in the big data and Hadoop cycle. It saw the need to combine and prep different data types so that organizations could analyze data and take action. Alteryx and similar companies played a critical role in helping companies become data driven. The problem was the decade of big data, brought a lot of complexities and required immense skills just to get the technology to work as advertised. This in turn limited, the pace of adoption and the number of companies that could really lean in and take advantage. Now, the cloud began to change all that, and set the foundation for today's themed, de jor of digital transformation. We hear that phrase a ton, digital transformation. People used to think it was a buzzword but of course we learn from the pandemic that if you're not a digital business, you're out of business. And a key tenant of digital transformation is democratizing data. Meaning enabling not just hyper specialized experts but anyone, business users to put data to work. Now back to Alteryx, the company has embarked on a major transformation of its own over the past couple of years. Brought in new management, they've changed the way in which it engaged it with customers with a new subscription model, and it's top graded. It's talent pool. 2021 was even more significant because of two acquisitions that Alteryx made, Hyper Anna and Trifecta. Why are these acquisitions important? While traditionally Altrix sold to business analysts that were part of the data pipeline. These were fairly technical people who had certain skills, and were trained in things like writing Python code. With Hyper Anna, Alteryx has added a new persona the business user, anyone in the business who wanted to gain insights from data and, or let's say use AI without having to be a deep technical expert. And then Trifecta, a company started in the early days of big data by Cubelum, Joe Hellerstein and his colleagues at Berkeley. They knock down the data engineering persona, and this gives Alteryx a complimentary extension into IT where things like governance and security are paramount. So as we enter 2022, the post isolation economy is here, and we do so with a digital foundation, built on the confluence of cloud native technologies, data democratization and machine intelligence or AI, if you prefer. And Alteryx is entering that new era with an expanded portfolio, new go to market vectors, a recurring revenue business model, and a brand new outlook on how to solve customer problems and scale a company. My name is Dave Volante with the Cube and I'll be your host today in the next hour we're going to explore the opportunities in this new data market. And we have three segments where we dig into these trends and themes. First we'll talk to Jay Henderson, vice president of product management at Alteryx about cloud accelerate and simplifying complex data operations. Then we'll bring in Crajesh vitall. Who's the chief product officer at Alteryx and Adam Wilson the CEO of trifecta, which of course is now part of Alteryx. And finally, we'll hear about how Alteryx is partnering with snowflake in the ecosystem and how they're integrating with data platforms like snow flick and what this means for customers. And we may have a few surprises sprinkled in as well into the conversation let's get started.

>> from the Cosmopolitan Hotel in Las Vegas, Nevada. It's the Cube covering Cooper inspired 2019. Brought to You by Cooper. >> Welcome to the Cube. Lisa Martin on the ground at Koopa Inspired 19 from Las Vegas. Very excited to welcome one of Cooper's spend centers from the USO acquaintance, senior director of procurement and contract management. Hey, welcome. >> Thank you. I'm glad to be here. >> Yeah, so this is one of the things that I really appreciate it with. All of the tech conference is that we go to on the Q, which is many, Many a year is when vendors like Cooper really share their success is through the voices and the stories of their successful customers. You got called out yesterday during general session today. There's a big cardboard cutout of you behind us there. But one of the things also that I find intriguing is looking at older organizations, and USO is 77 years young. We think of older organizations challenging Thio maneuver that in this digital era and really be able to transform the business so that you could d'oh, what the mission of the U. S. It was, which is to help men and women in our U. S. Armed forces from the time that they enter to the time that they transition back to civilian life. Talked a little bit about us. So what your role is in for cumin and then we'll talk about how you're achieving these great things. >> Well, I've been with us for four years, almost four years. When I first interviewed for this position with my boss, the VP controller, I asked her if they had a secure to pay solution. She said No again when I was hired for this position, My, you know, my goal was to get the organization automated. They were processing everything by paper. All the requisitioning was being processed by paper. It would take for seven seven 10 days. It's for a requisition to be approved because it would literally be something printed out and move from desk to desk, desk on approvals and on the back end for invoicing would occur the same filling out a cover sheet. Everything was printed out, processed manually, so that was kind of my first project when I started and my position was new, procurement had been under the director of canning operation. So, um came. It was just a small piece of it. So they made a decision After he left to create my position on DSO I. Again. That was my goal initially when I started. So So it was going through an R P process, looking, looking our requirements and then selecting vendor gets the best value to the USO, which was Coop up. And Cooper is what I think we all love about. It is it's so customizable, and the USO has a lot of, ah, a lot of different requirements in our barbecue elements. From, you know, we've entertainment tours to our programs, care packages we send out to the military. Our operations are USO Center's construction projects, our development campaigns for on line and direct mail. So there are a lot of different requirements. I really work with each department and kind of setting up those requirements, and Cooper was able to do that for us. We were able to customize a lot of it, But for us, the innovation part is really thinking outside the box because >> tough to do 77 year old organization, right, especially one that has paper everywhere. You guys air now 90.4% paper. Yes, with Cooper, that's a massive Yes, it's cultural change. It's a >> huge and it took again. Another thing. When I interviewed Waas, I interviewed with the CFO as well and I said If you don't support me, I will not be successful. So they have been very supportive. My supervisor, the CFO, the entire organization CEO. It's been extreme. He loves Cooper, so loves the app in improving a breathing invoices requisitions. So it was really that that communication, the socialization training because it was a huge cultural shift and some were embraced it. It was a little tougher for others moving. But eventually you move in line because that is, you know, that's the new process for us as an organization. So it's it's become very successful. We're moving towards new modules contracts, Clm expends sourcing. So we're really expanding the group A picture at us. Oh, >> so what would you say before you came on board when there was so much paper floating around everywhere? You can imagine the security risk of all these, you know, personal information or what have you lying around on someone's desk? What waas The percent, if you could guess visibility into where the U. S. I was spending money prior to bringing on Cooper versus what is it today? >> Uh, extremely small percentage would have been a very small. I mean, we just had a you know, we operate on our European system. Is Great Plains pretty clunky? Not, You know, it's It's hard to see the visibility. Now. It's 100% visibility. We see all of all of the requisitioning occurring overseas. You know, we have centers all over the world, and they all have access to Cooper now because they have to submit requisitions through Cooper. And so we now have 100% visibility. And for our reporting, you know, able to pull all that information and we've got controls in place gave us the ability to put some controls in place and our approval work flows and making sure that contracts were reviewed before budgets air approved, etcetera. A lot of those things were able to set those controls in place in >> that control. Word that you bring up is spot on. We've been talking about that for the last couple of days, and it's the same when we were talking with Suzie Orman earlier, who was one of the key nodes. And when she talks about personal finance, it's sort of the same thing. We all as individuals, whether we're consumers, you know, in our personal lives, buying whenever we want from anything dot com to being buyers or managers of even lines of business. Within whatever company we work for. We need to have that picture that control and control is really that kind of accountability and that awareness. Are we managing everything appropriately? Are there other parts of the business that are doing the same thing that there may be getting the same service is at a better price, and we're we should know that right, but without having that visibility will be able to control of this process is it's an inhibitor to any business being able to transform digitally and be competitive and right to really get back to your core >> mission. Exactly. And that's what's helping you know us with the control way are a 501 c three. So we need tohave that visibility on dhe. Make sure that our donor dollars are being spent wisely, and this enabled enables us to do that enables toe have that that total visibility and making sure those controls are in place. >> Actually, speaking of donor dollars, has this actually been a facilitator of actually being able to increase donations? Because the donors now have this much easier transaction process that can imagine that would be a positive impact there. >> Well, I mean that this is more for our procurements. Mean, Coop is kind of more for our actual procurement. What it does do is it does create process savings and avoidance savings, which we can reinvest in, you know, in our program. Right. So that's where we're seeing it. That's where Steve always seeing it. We've communicated that to him, and then we're also able to provide arse CFO with reporting tools. So we create. We pull all this information from Cooper through reports, and there were able to create a spreadsheet, and he can see how we spend is an organization. You know how we spend in commodities, How where are unbudgeted, you know, kind of get a total of much I budgeted we have for for a specific period of time. So we're able to see all this kind of information. He conceal this in kind of information on one spreadsheet that we created through all the reports that way >> in Crete. >> So I want to get your perspectives on the changing role of the chief procurement officer and the chief financial officer. You know, now they have the opportunity to leverage technology, emerging technologies like artificial intelligence and machine learning to be able to get that visibility and that control, but also be former strategic and really drive top line bought online for their business. Your perspective on this the last few years alone and how were you able to help a 77 year old organization like us so embraced the opportunities that these emerging technologies can deliver? >> Well, I think one key is as because our our organization is all over the world. And then there are centers that could be, you know, roll. And they, you know, they it's the whole vendor presence and the amount of vendors that we as an organization, do bring on. And some of them it's totally understandable where some of them they do need to bring on based on, you know, their availability. But what I'm trying to do, what Cooper has helped me try to do with Cooper advantages to try to leverage our volume organizational volume that was not occurring previously. I think people were just, you know, when the new defender they brought it on because we have a lot of events, you know, supplies for the centers, et cetera. So really trying to, strategically, as an organization to be able to work with the region's on where can we find synergies to kind of consolidating leverage our values for Henderson with Cooper work, we've been able to do that. We can see the span where it's occurring, kind of all the duplications that are occurring. So that's where I'm seeing a bit opportunity and trying to work. >> One of the coolest things about what you guys are doing in procurement with Cooper is this is affecting human lives. Give us a little bit of an overview of what you guys were able to facilitate with Hurricane hearty. Wish struck Houston just about two years ago. I loved that story that >> those kind of those spur of the moment emergency type requisitions that we get and were able to those get processed a lot quicker when when we have group as opposed to previously the way they had processed. It was very labor intensive manually, verbally instead of being able to see it in. You know what's great about the requisitioning piece of it is the comments kind of audit that people can see in all the conversations. So those types of requests that are considered emergencies, they can go a lot sooner on so we can get those service's or the goods out to to that particular project. So that's what we're able to do with that. That particular one is well, being able to support the National Guard and during the Hurricane Harvey >> and accelerate things that really based on the data that you can see, I really need to have acceleration on all the action. >> I mean distant just to our programs team. They support the care packages that we send to the military. Now that we have coop in place, we use 1/3 party fulfillment center. When they receive the product, the receipts are automatically fed into Cooper and applied against the purchase orders, and then they're approved a lot quicker, So then they can receive kicked, tip the product and ship it out overseas because we get. These are based on requests. The military bases have requested to have this particular product being sent over. So this turns the process is cut in half to get the care packages out to the millet. >> That's awesome. Getting care packages to the troops 50% Bastard is outstanding. Last question for you, Rick. Some of the things that Cooper has announced in the last day and 1/2 what excites you about the direction that this company is going in >> for me? The constant changing, I mean, and I was not in the military, so I'm way moved around a lot. I was when I was growing up. I adopt to change a very quickly, but understands some people don't write quickly, but it's bettering themselves, finding the operative, listening to the customer and really making those enhancements based on customer feedback. And I think it helps with the community intelligence that we talk with, you know, with the communities and find out. What are you doing? How how are you doing this? Because a lot of companies will say, Well, I have specific requirements and a lot of them are pretty similar. If people talk, you know, community talks. So that's kind of that's I like getting together and again meeting other, you know, people, customers. And so it's Yeah, it's pretty exciting. >> I like what? How tender this morning, you know, showed the word community and said, Really, it's communication and unity, and you just articulated that beautifully. Listen to the customers. Get the synergies from them. That's why we should. Any software business should be developing right soccer. So thank you so much for joining me on the Cube today, sharing the big impact that you guys are making at the USO charity. Near and dear to my heart. We appreciate your time. >> Thank you very much >> for your acquaintance. I'm Lisa Martin. You're watching the Cube from Cooper inspired 19. Thanks for watching.