>> Live from Las Vegas. It's the Cube covering Adobe Summit twenty nineteen brought to you by extension for interactive. >> Hey, welcome back it when Cube live coverage here in Las Vegas are doubly. Summit twenty nineteen. I'm John Murray with Jeffrey, my coz this week. Two days of wall to wall coverage. Our next guest is Glenn Hartman. North America lied for a censure Interactive. Thanks for joining us. Hey, thanks for having me. Great beer. So you guys are doing some great stuff around the creativity, peace, doing great customer experience. Implement taste. We have a great walk through from a lot of the folks from your organization. You're designing up ideas and products, delivering them and then operating them. Nice model. Yeah, thanks. Is that your business model that has network, What century? Interactives business model. I mean center and >> really about one thing. It's about creating, delivering and running the best experiences on the planet. We help our clients do that for their own customers. And when >> we talk about experience, a lot of people have different definitions for that, especially at the conference here. It's not necessarily an experience of a website or a mobile app or u X is people use it. It's really anyway, a brand engages with a customer. It's not just marketing. Either it could be sales or customer service loyalty. Anything anyway. A brand promise can be delivered. Teo to customers. One of things that I've noticed with you guys is that it's a talk track and thought leaders around a new creative and new creativity. And Toby honestly with software that they haven't now the cloud you're seeing in the marketplace. We saw this at Sundance two years ago. A new kind of creative is, um, organically coming into the marketplace with more channels to direct to consumer, whether it be to be or be to see you and now have new kinds of mechanisms to take product, whether it's APS or content or movies, You start to see this democratization really starting to happen. How is that changing? How you guys helped us is because now they now have new capability. They can tell their story in a different way. They have access to new kinds of channels that weren't there before. How is that changing the business, in your opinion, die in a profound way? So I mean, everybody knows that marking is inextricably linked >> to technology and data. Everybody knows that. But when >> we are thinking about the new, creative and own ways that you can tell stories and create experiences. We look at experience very differently. I mentioned before that it was all about all the different touch points in the ways people interact with the brand. But when we look at experience, we call it the Big E. And the biggie actually stands for empathy. And it's understanding how to define what a brand experience means to that customer and defining success in terms of that customer. And you know, Jeff and John, you guys air not to find by your data set or what you bought last week. You could be very different types of people in different situations and understanding ways to empathize with you in the moment and having experiences change in the moment and having creative play, a part of that and data play. A part of that is the big hot. It's a new way of looking at things, and the last part of that, too. And the big is about emotion. So when you have a big brand that has some emotional connection, you know you love this brand for an automotive or you love this hotel chain or there's some brand a connection you have. How do you have that connection flow through every touch? Point and data and technology can enable that. But it's really empathy and emotion. That's the driver. How do you get empathy and creativity to work together? Because you now have an accelerant with data you mentioned getting to know people's empathizing with them in the moment it's contextual. I could be having a great day or a bad day or driving my kids to school of whatever's going on with me. It certainly there might be some data out. How do you get the creativity and the empathy to work together in your mind? You see that appointment? That's the nice parties. More than ever, we have different data sets that can help us do that. Just give you a couple of examples. Um, instead of understanding how to market >> to someone so they'LL buy the next product on basing. That may be on their demographic, maybe basing it on their preferences. You've hear all these terms and marketing for years, and you can understand what they bought. >> Instead of understanding that, why don't we try and look and use data which you could easily do today to understand why they bought something so it could be something as simple as like a I don't know, Cpg example. Maybe have shampoo and you could say, Well, they bought these kinds of things before, So maybe they'LL buy that champion. But if they know that, you know, maybe Jeff is equal friendly are John. Maybe you're more into things that maybe you buy that shampoo because you care about animals and they know they don't test them on animals. Or maybe it's something more about experience that that particular shampoo won't make your daughter cry when you ship your her hair. And it helps that experience that that's the reason why it actually helps me. You're empathizing in the moment with something that is meaningful that you care >> about. It's not about a better deal or >> better price or some kind of feature. It's something actually about you more meaningful, much very meaningful interaction. Data set is that because there's no data before, is it more? There's more signals, potentially to get exposed to that, because that's a hard data points to get. I mean, to find the why is a holistic kind of perspective. It's true, but I mean, I think it's more of a mind set. The date is there, but the mind set has been different. Over time, people were looking to technology every buzz word in the world use big data and personalization. Aye, aye. And then now it's a I and machine learning and like, Well, that's great. And they're all wonderful enablers, as I said, but it has to be driven by empathy first. So it all starts. >> I mean, we've been saying this forever customer, centrist city and a customer >> concerts. But really, I mean, for real. If you start to use those data sets, aunt have the mindset has to be a c M. O. R. A brand manager is someone who actually it's advocating for the customer, and they're willing to say, No, I don't need big data. I don't need all the data. I need this gold nugget part so I can speak to John. >> It's interesting plate, as you say, the emotional part of the biggie. Also, I think it is the old Coke commercial, right raw one world together, and we all cry and there's some great McDonald's commercials, right when you talk about you think beyond that to the to the empathy. I can't help but think of kind of the whole purpose. Purpose driven, mission driven companies. You know, kids coming out of college want to work for mission driven, cos we heard it over and over. And the key notes, you know, we're not a product company, not even really a service company. But we're committed to two, an ideal to the mission. Beep. Be partners with us, be our customer. Let's have a relationship that goes so much deeper and longer than any particular transaction is that kind of that tied it, that that is a part of it? >> Absolutely. Now, the interesting thing of what you said is that people are >> tied to a purpose and maybe something that's meaningful in a broad sense, absolutely. And that's a wonderful place to start. And you can start to align products and services in that way, >> the way he talked about, like, shampoo and, you know, animal testing, right? Well, >> it's a good one, but the next one is really getting a little bit Mohr down to you. So I think all that is great, but really understand what you need in the moment, because what happens is it. Some of those things may change if you are shopping at a grocery store every >> Saturday for your family and you're used to doing down your attitude. There might be different then when >> you're shopping, when your kid is sick and you got pulled out of work and you got to get there to get the prescription, you're into speed and your stress in the moment they're versus. Maybe >> on Saturday you're like all try some new coupons and try some new things and go by. The little tasting >> station is actually behaviors that you want to understand in the moment. That is a big part of that as well. But the key thing to hear is, let's think of this when you deal with empathy. It's not just getting to know all those things. Even if it gets to that level, it's actually changing the way marketers think about talking to communicating and relating to customers even the language that they use. I mean, think of it >> today. I mean, >> still, people use marketers are their marketing to people. It's, uh, that's acquire customers. Let's convert wind developers over good. We don't win their helpers over. And what was the last time you guys were real excited about getting converted? Okay, it's not a fun experience, right? So if you even changed, I might send you say, Let's market with someone or let's let's help them. You actually create experiences that are useful and helpful not about conversion and not a business metric. But success is defined by the customer. How are you guys playing this? Because this is really kind of ties on multiple threads. I mean, the whole nother community angle to people belong to communities in context to their life. And they engage. And when they engage his emotional connection to a group of this and some cohorts is the worker. Thank you. Okay, groups. But they're friends and colleagues, or whatever could be you guys were. The point is, with customers, take us through a use case day in the life of empathy, deployed into how you guys do business with the big Branson and one of the success. How do you make it happen? What's the engagement look like? How does someone do this? So they just wake up one morning, say Okay, I'm gonna have more empathy. They also call you guys up. What happens? Like what? Take us through What? Certain evidence was made in the slide. I could give you >> a little bit of it. An example of how stars we've been talking a little bit more dramatically about sick kids and testing on pets and animals and things like that. Not testing the pets. Can you imagine? I'd really be >> horrible. But single graphic of the users individual personal things is hard, right? So? Well, I mean, the whole point of this is that when you really get into the mechanics of how this works, I'll give you an >> example. It's a little bit less dramatic. OK, so it's a telecommunications company. Telco company. That's selling. You guys know what? Triple play? Yeah. Okay, So you have It's >> a cable and a phone, right? All it's it's like a commodity product writers. There's no emotional thing necessarily. But in that game, if you can just optimize certain parts of the journey, you can make a big difference, right so way got a benign request from a marketer. Teo say, Listen, we do a lot of paid search. Can you help us with this one product? Just if you move it even like one percent, it would be significant to the company. But when? So okay, we'LL do that, >> and it worked out. We go in and help them do their >> search. But because we're thinking about experience in a broader sense for so well, let's let's do it more. Let's make them be able to transact or engage in multiple ways. Well, you could. You could sign up for the service to email. Or maybe there's click to call or click to chat. Or you could even walk into a branch and do it there. Maybe through the call centre, right? It's what's all that's working together on the channel, though fun words you want easy. You're leveraging >> different technologies to do it and people, >> so the way this worked was you were coming in through search and then eventually a lot of them were converting in the call center. So it was all working. And you think that's great? Well, it wasn't great to the company at all. They were very upset. The people that we're buying the media, we're really bummed because they couldn't get the attribution of the credit for the thing was in the call center. So they came over the great idea. They said, OK, take the phone number off and take the the click to call off and will force the >> customer to convert in. Our channel, of >> course, is a brilliant company with great people and rational thinking prevailed and they didn't do that. But they said, Well, what do we do? I said, Well, you're going to eat and multi attribution model to be able to help you do that, Okay, but that's not enough because you also need a new sales incentive and commission structure inside the call center because those people are getting pit on that. But since it's such a low commodity product, that's not gonna work to change. That's that's a new sales kind of thing, then you wait. They can't talk for another three seconds to that person because you'LL bring the margins on. You got to get him back. All the turtleneck just screwed up. That's right. So there's a new business process is now a new operating model whose skills to get him back into the general. So all of a sudden it's benign. Request from a marketing team taken, you optimize my paint search becomes new business transformation. Okay, now, because that brand manager had the guts to say I'm going to advocate for this customer. This customer wants to come in through this channel. They want to convert over here, and we're gonna actually change the operating model, the sales structure to call the sales lead. I had to call the CFO on the CEO, and we're gonna make this happen, Gonna change the way we do business on behalf of that customer. That is weight world, I could tell you we see this all the time and marketers all the time that there's so married to their website analytics funnel that that's all about who gets credit coded earls and the customer experience is a brutal. It's like I'm not here on other sites are all over the place. I don't really need to go the site every day, right? Somebody only go there when Otto and the thing we were talking about before. If you're grocery shopping >> and Europe's have set on Tuesday and you want to get off >> for your kid at versus the nice leisurely thing we talked about on the weekend, there's a whole nother set of outcomes in Cape Yas you have to deal with. If you went into that supermarket on Tuesday and they figured out a way to get you in and out fast and just get those two or three autumns, you need it for your kid. That's a failed trip. According to the grocery industry. You need to be in there longer they want, so you stay in the back. That's right. Totally. That breaks the whole model, but it's wonderful for you. You'LL shop there forever because of that experience, what you're getting at the Morrises air, changing the business models of cos that's the bottom line. You're at the center. That could be a driver for the transformation. That's it. Empathy. Is the driver Absolutely no. You need to have the emotional connection to all that stuff to help also internally see emos. I don't need to just be relevant and customers that need to be relevant to the enterprise. They need to be relevant to the CEO, Doc in seconds and hear the screaming and kicking and screaming right now. Glenn, that's great. But man, that's a heavy lift way could do it. How do you How do you get it? Because now I can see a cultural reaction. The antibodies will come out and attack that notion because it's scary because now, like, whoa, yeah, well, I mean, it is hard, but the good news is, is that we see, even at this conference, and a lot of our clients are coming over to do that this incremental ways to get there. But I'll make it simple. So the advantages are we said this new technology, new data that allow you to do some of this stuff right? That's great. And you can see a lot of them consolidating, right? A lot of the stacks all now have content and analytics and commerce and all that, and in this nice ways that they come together and that consolidation can help, and there's other ones that can handle different data sets, and that helps to his automation. And but the thing is that what people miss is one of the ways to accelerate this is add a human centered approach to how you actually create the experience internally. And what I mean is, it's not enough to consolidate the data and figure out that Gold nugget and not enough to do with technology have to do with humans. It's a human centered approach, so we're bringing in integrated teams of humans that are pulling all the stuff together. It's someone who understands strategy. Maybe someone understands creative when it hit me in the club, basically their prime in the pump getting it. But they will sit together. They sent to get the analytics. People sit next to the creative people. It's in next you people. They work on it as they designed the experience. You don't do a strategy project and then do a A road map and then do an R P for technology enabled Waterfall does not work, but it's beyond even waterfall versus algebra. This is actually taking humans and consolidate that thinking New skill sets at the center in like an incubator way to do pilots to do prototyping to do things. If you want to create that new experience that we're talking about in any of these cases, you gotta hand CMO some kind of thing that can bring to the team and say, Look, here's an app that would enable this or he has a pilot We could try without boiling the ocean toe, actually create an experience that would move the needle or whatever. Lame corporate analogy. Just make more money and get some decent results in Get a beachhead, just small eatery through it. Glenn. Great Insights. This is a great time. We'd love to get you back on the Cuban girl down, and it's kind of design thinking, combined with execution on the front lines with customers. Center the value proposition. Great conversation before we and just give a quick plug for the business. What's going on with a sensor Interactive? How's the business going? What are your goals? How many people are working there? What's the geography is looked like? Give us enough. Thanks for asking So essential Interactive is enjoying its third year as being listed by at H magazine, is the largest digital agency in the world on the fastest growing Wei have coverage and a truly integrated global delivery model that hits every part of the of every market. And we're so excited. Tio have this growth because it's a way to show that the market is truly interested and being experienced lead and the way we're defining experience. We're seeing more and more clients moving from some of these incremental changes to really >> try to put the customer at the center of what they're doing. And, you know, X Ensure Interactive believes in this model it is. It's very much in some ways way. Call it a new kind of provider, like an experience agency for lack of a better term. TTO help companies drive that transformation, and it's >> done with people and technology, and we're been on a tear recently. Most are growth is organic, but we also do lots and lots of acquisitions to make these capabilities come together. All the creativity and the design and the strategy and the techniques and the run of it is all in one integrated team, and that is very, very helpful when you're trying to do some of the things we've been talking about and you're you guys. I think I'm the right way. This customer wave is really, really because with digital customers air in charge, they control their data. They're now going to shift is happening. We're starting to see some visibility into it. It was going to impact the economics process and business models, so I think it's just beginning. Congratulations really is thanks. And we're so excited because some of the >> client successes it's truly transformational somethings. You got it. Carnival or Marriott or or Subway. I >> mean, it's a whole different >> kind of way of looking at experience, and it's >> really helping people. It's not just for its good for the business, but we're really changing people's lives and helping have experiences be meaningful. It's been wonderful and fun for us. Glenn, Thanks so much for sharing this insights here in the Cube. Hey, thanks for going the data Here live adobe summat. Twenty nineteen, Jumper, jefe Rick, Stay tuned for more coverage after this short break

>> Hey, welcome back everybody. Jeff Rick here with the Cube. We are live in downtown San Jose at the historic Pagoda Lounge, part of Big Data SV, which is part of Strata + Hadoop Conference, which is part of Big Data Week because everything big data is pretty much in San Jose this week. So we're excited to be here. We're here with George Gilbert, our big data analyst from Wikibon, and a great guest, Gaurav Dhillon, Chairman and CEO of SnapLogic. Gaurav, great to see you. >> Pleasure to be here, Jeff. Thank you for having me. George, good to see you. >> You guys have been very busy since we last saw you about a year ago. >> We have. We had a pretty epic year. >> Yeah, give us an update, funding, and customers, and you guys have a little momentum. >> It's a good thing. It's a good thing, you know. A friend and a real mentor to us, Dan Wormenhoven, the Founder and CEO of NetApp for a very long time, longtime CEO of NetApp, he always likes to joke that growth cures all startup problems. And you know what, that's the truth. >> Jeff: Yes. >> So we had a scorching year, you know. 2016 was a year of continuing to strengthen our products, getting a bunch more customers. We got about 300 new customers. >> Jeff: 300 new customers? >> Yes, and as you know, we don't sell to small business. We sell to the enterprise. >> Right, right. >> So, this is the who's who of pharmaceuticals, continued strength in high-tech, continued strength in retail. You know, all the way from Subway Sandwich to folks like AstraZeneca and Amgen and Bristol-Myers Squibb. >> Right. >> So, some phenomenal growth for the company. But, you know, we look at it very simply. We want to double our company every year. We want to do it in a responsible way. In other words, we are growing our business in such a way that we can sail over to cash flow break-even at anytime. So responsibly doubling your business is a wonderful thing. >> So when you look at it, obviously, you guys are executing, you've got good products, people are buying. But what are some of the macro-trends that you're seeing talking to all these customers that are really helping push you guys along? >> Right, right. So what we see is, and it used to be the majority of our business. It's now getting to be 50/50. But still I would say, historically, the primary driver for 2016 of our business was a digital transformation at a boardroom level causing a rethinking of the appscape and people bringing in cloud applications like Workday. So, one of the big drivers of our growth is helping fit Workday into the new fabric in many enterprises: Vassar College, into Capital One, into finance and various other sectors. Where people bring in Workday, they want to make that work with what they have and what they're going to buy in the future, whether it's more applications or new types of data strategies. And that is the primary driver for growth. In the past, it was probably a secondary driver, this new world of data warehousing. We like to think of it as a post-modern era in the use of data and the use of analytics. But this year, it's trending to be probably 50/50 between apps and data. And that is a shift towards people deploying in the same way that they moved from on-premise apps to SAS apps, a move towards looking at data platforms in the cloud for all the benefits of racking and stacking and having the capability rather than being in the air-conditioning, HVAC, and power consumption business. And that has been phenomenal. We've seen great growth with some of the work from Microsoft Azure with the Insights products, AWS's Redshift is a fantastic growth area for us. And these sorts of technologies, we think are going to be of significant impact to the everyday, the work clothing types of analytics. Maybe the more exotic stuff will stay on prem, but a lot of the regular business-like stuff, you know, stuff in suits and ties is moving into the cloud at a rapid pace. >> And we just came off the Google Next show last week. And Google really is helping continue to push kind of ML and AI out front. And so, maybe it's not the blue suit analytics. >> Gaurav: Indeed, yes. >> But it does drive expectations. And you know, the expectations of what we can get, what we should get, what we should be moving towards is rapidly changing. >> Rapidly changing, for example, we saw at The New York Times, which as many of Google's flagship enterprise customers are media-related. >> Jeff: Right. >> No accident, they're so proficient themselves being in the consumer internet space. So as we encountered in places like The New York Times, is there's a shift away from a legacy data warehouse, which people like me and others in the last century, back in my time in Informatica, might have sold them towards a cloud-first strategy of using, in their case, Google products, Bigtable, et cetera. And also, they're doing that because they aspirationally want to get at consumer prices without having to have a campus and the expense of Google's big brain. They want to benefit from some of those things like TensorFlow, et cetera, through the machine learning and other developer capabilities that are now coming along with that in the cloud. And by the way, Microsoft has amazing machine learning capability in its Azure for Microsoft Research as well. >> So Gaurav, it's interesting to hear sort of the two drivers. We know PeopleSoft took off starting with HR first and then would add on financials and stumble a little bit with manufacturing. So, when someone wants to bring in Workday, is it purely an efficiency value prop? And then, how are you helping them tie into the existing fabric of applications? >> Look, I think you have to ask Dave or Aneel or ask them together more about that dynamic. What I know, as a friend of the firm and as somebody we collaborate with, and, you know, this is an interesting statistic, 20 percent of Workday's financial customers are using SnapLogic, 20 percent. Now, it's a nascent business for them and you and I were around in the last century of ERP. We saw the evolution of functional winners. Some made it into suites and some didn't. Siebel never did. PeopleSoft at least made a significant impact on a variety of other things. Yes, there was Bonn and other things that prevented their domination of manufacturing and, of course, the small company in Walldorf did a very good job on it too. But that said, what we find is it's very typical, in a sense, how people using TIBCO and Informatica in the last century are looking at SnapLogic. And it's no accident because we saw Workdays go to market motion, and in a sense, are following, trying to do the same thing Dave and Aneel have done, but we're trying to do the same thing, being a bunch of ex-Informatica guys. So here's what it is. When you look at your legacy installation, and you want to modernize it, what are your choices? You can do a big old upgrade because it's on-premise software. Or you can say, "You know what? "For 20% more, I could just get the new thing." And guess what? A lot of people want to get the new thing. And that's what you're going to see all the time. And that's what's happening with companies like SnapLogic and Workday is, you know, someone. Right here locally, Adobe, it's an icon in technology and certainly in San Jose that logo is very big. A few years ago, they decided to make the jump from legacy middleware, TIBCO, Informatica, WebMethods, and they've replaced everything globally with SnapLogic. So in that same way, instead of trying to upgrade this version and that version and what about what we do in Japan, what do we do in Sweden, why don't you just find a platform as a service that lets you elevate your success and go towards a better product, more of a self-service better UX, millennial-friendly type of product? So that's what's happening out there. >> But even that three-letter company from Walldorf was on-stage last week. You can now get SAP on the Google Cloud Platform which I thought was pretty amazing. And the other piece I just love but there's still a few doubters out there on the SAS platform is now there's a really visual representation. >> Gaurav: There is. >> Of the dominance of that style going up in downtown San Francisco. It's 60 stories high, and it's taken over the landscape. So if there's ever any a doubt of enterprise adaptation of SAS, and if anything, I would wonder if kind of the proliferation of apps now within the SAS environment inside the enterprise starts to become a problem in and of its own self. Because now you have so many different apps that you're working on and working. God help if the internet goes down, right? >> It's true, and you know, and how do you make e pluribus unim, out of many one, right? So it's hilarious. It is almost at proliferation at this point. You know, our CFO tapped me the other day. He said, "Hey, you've got to check this out." "They're using a SAS application which they got "from a law firm to track stock options "inside the company." I'm like, "Wow, that is a job title and a vertical." So only high growth private venture backed companies need this, and typically it's high tech. And you have very capable SAS, even in the small grid squares in the enterprise. >> Jeff: Right, right. >> So, a sign, and I think that's probably another way to think about the work that we do at SnapLogic and others. >> Jeff: Right, right. >> Other people in the marketplace like us. What we do essentially is we give you the ERP of one. Because if you could choose things that make sense for you and they could work together in a very good way to give you very good fabric for your purposes, you've essentially bought a bespoke suit at rack prices. Right? Without that nine times multiplier of the last century of having to have just consultants without end, darkened the sky with consultants to make that happen. You know? So that, yes, SAS proliferation is happening. That is the opportunity, also the problem. For us, it's an opportunity where that glass is half-full we come in with SnapLogic and knit it together for you to give you fabric back. And people love that because the businesses can buy what they want, and the enterprise gets a comprehensive solution. >> Jeff: Right, right. >> Well, at the risk of taking a very short tangent, that comment about darkening the skies, if I recall, was the battle of the Persians threatening the 300 Greeks at the battle of Thermopylae. >> Gaurav: Yes. >> And they said, "We'll darken the skies with our arrows." And so the Greek. >> Gaurav: Come and get 'em. >> No, no. >> The famous line was, he said, "Give us your weapons." And the guy says, "Come and get 'em." (laughs) >> We got to that point, the Greek general says, "Well, we'll fight in the shade." (all laughing) But I wanted to ask you. >> This is the movie 300 as well, right? >> Yes. >> The famous line is, "Give us your weapons." He said, "Come and get 'em." (all laughing) >> But I'm thinking also of the use case where a customer brings in Workday and you help essentially instrument it so it can be a good citizen. So what does that make, or connect it so it can be a good citizen. How much easier does that mean or does that make fitting in other SAS apps or any other app into the fabric, application fabric? >> Right, right. Look, George. As you and I know, we both had some wonderful runs in the last century, and here we are doing version 2.0 in many ways, again, very similar to the Workday management. The enterprise is hip to the fact that there is a Switzerland nature to making things work together. So they want amazing products like Workday. They want amazing products like the SAP Cloud Suite, now with Concur, SuccessFactors in there. Some very cool things happening in the analytics world which you'll see at Sapphire and so on. So some very, very capable products coming from, I mean, Oracle's bought 80 SAS companies or 87 SAS companies. And so, what you're seeing is the enterprise understands that there's going to be red versus blue and a couple other stripes and colors and that they want their businesspeople to buy whatever works for them. But they want to make them work together. All right? So there is a natural sort of geographic or structural nature to this business where there is a need for Switzerland and there is a need for amazing technology, some of which can only come from large companies with big balance sheets and vertical understanding and a legacy of success. But if a customer like an AstraZeneca where you have a CIO like Dave Smoley who transformed Flextronics, is now doing the same thing at AstraZeneca bringing cloud apps, is able to use companies like SnapLogic and then deploy Workday appropriately, SAP appropriately, have his own custom development, some domestic, some overseas, all over the world, then you've got the ability again to get something very custom, and you can do that at a fraction of the cost of overconsulting or darkening the skies in the way that things were done in the last century. >> So, then tell us about maybe the convergence of the new age data warehousing, the data science pipeline, and then this bespoke collection of applications, not bespoke the way Oracle tried it 20 years ago where you had to upgrade every app tied into every other app on prem, but perhaps the integration, more from many to one because they're in the cloud. There's only one version of each. How do you tie those two worlds together? >> You know, it's like that old bromide, "Know when to hold 'em. "Know when to fold them." There is a tendency when programming becomes more approachable, you have more millennials who are able to pick up technology in a way. I mean, it's astounding what my children can do. So what you want to do is as a enterprise, you want to very carefully build those things that you want to build, make sure you don't overbuild. Or, say, if you have a development capability, then every problem looks like a development nail and you have a hammer called development. "Let's hire more Java programmers." That's not the answer. Conversely, you don't want to lose sight of the fact that to really be successful in this millennium, you have to have a core competence around technology. So you want to carefully assemble and build your capability. Now, nobody should ever outsource management. That's a bad idea. (chuckles) But what you want to do is you want to think about those things that you want to buy as a package. Is that a core competence? So, there are excellent products for finance, for human capital management, for travel expense management. Coupa just announced today their for managing your spend. Some of the work at Ariba, now the Ariba Cloud at SAP, are excellent products to help you do certain job titles really well. So you really shouldn't be building those things. But what you should be doing is doing the right element of build and buy. So now, what does that mean for the world of analytics? In my view, people building data platforms or using a lot of open source and a lot of DevOps labor and virtualization engineering and all that stuff may be less valuable over time because where the puck is going is where a lot of people should skate to is there is a nature of developing certain machine language and certain kind of AI capabilities that I think are going to be transformational for almost every industry. It is hard to imagine anything in a more mechanized back office, moving paper, manufacturing, that cannot go through a quantum of improvement through AI. There are obviously moral and certain humanity dystopia issues around that to be dealt with. But what people should be doing is I think building out the AI capabilities because those are very custom to that business. Those have to do with the business's core competence, its milieu of markets and competitors. But there should be, in a sense, stroking a purchase order in the direction of a SAS provider, a cloud data provider like Microsoft Azure or Redshift, and shrinking down their lift-and-shift bill and their data center bill by doing that. >> It's fascinating how long it took enterprises to figure out that. Just like they've been leveraging ADP for God knows how many years, you know, there's a lot of other SAS applications you can use to do your non-differentiated heavy lifting, but they're clearly all in now. So Gaurav, we're running low on time. I just want to say, when we get you here next year, what's top of your plate? What's top of priorities for 2017? Cause obviously you guys are knocking down things left and right. >> Thank you, Jeff. Look, priority for us is growth. We're a growth company. We grow responsibly. We've seen a return to quality on the part of investors, on the part of public and private investors. And you know, you'll see us continue to sort of go at that growth opportunity in a manner consistent with our core values of building product with incredible success. 99% of our customers are new to our products last quarter. >> Jeff: Ninety-nine percent? >> Yes sir. >> That says it all. >> And in the world of enterprise software where there's a lot of snake oil, I'm proud to say that we are building new product with old-fashioned values, and that's what you see from us. >> Well 99% customer retention, you can't beat that. >> Gaurav: Hard to beat! There's no way but down from there, right? (laughing) >> Exactly. Alright Gaurav, well, thanks. >> Pleasure. >> For taking a few minutes out of your busy day. >> Thank you, Jeff. >> And I really appreciate the time. >> Thank you, Jeff, thank you, George. >> Alright, he's George Gilbert. I'm Jeff Rick. You're watching the Cube from the historic Pagoda Lounge in downtown San Jose. Thanks for watching.