>> Live from Las Vegas. It's theCUBE. Covering Informatica World 2019, brought to you by Informatica. >> Welcome back everyone to theCUBE's live coverage of Informatica World. I am your host, Rebecca Knight, along with co-host, John Furrier. We have two guests for this segment. We have Abhiman Matlapudi. He is the Product Master at Deloitte. Welcome. >> Thanks for having us. >> And we have Kubalahm Rajeev Krishnan, Specialist Leader at Deloitte. Thank you both so much for coming on theCUBE. >> Thanks Rebecca, John. It's always good to be back on theCUBE. >> Love the new logos here, what's the pins? What's the new take on those? >> It looks like a honeycomb! >> Yeah, so interesting that you ask, so this is our joined Deloitte- Informatica label pin. You can see the Deloitte green colors, >> Nice! They're beautiful. >> And the Informatica colors. This shows the collaboration, the great collaboration that we've had over, you know, the past few years and plans, for the future as well. Well that's what we're here to talk about. So why don't you start the conversation by telling us a little bit about the history of the collaboration, and what you're planning ahead for the future. Yeah. So, you know, if we go like you know, ten years back the collaboration between Deloitte and Informatica has not always been that, that strong and specifically because Deloitte is a huge place to navigate, and you know, in order to have those meaningful collaborations. But over the past few years, we've... built solid relationships with Informatica and vise versa. I think we seek great value. The clear leaders in the Data Management Space. It's easy for us to kind of advise clients in terms of different facets of data management. You know, because no other company actually pulls together you know, the whole ecosystem this well. >> Well you're being polite. In reality, you know where it's weak and where it's real. I mean, the reality is there's a lot of fun out there, a lot of noise, and so, I got to ask you, cause this is the real question, because there's no one environment that's the same. Customers want to get to the truth faster, like, where's the deal? What's the real deal with data? What's gettable? What's attainable? What's aspirational? Because you could say "Hey, well I make data, data-driven organization, Sass apps everywhere." >> Yeah. Yeah absolutely. I mean every, every company wants to be more agile. Business agility is what's driving companies to kind of move all of their business apps to the Cloud. The uh, problem with that is that, is that people don't realize that you also need to have your data management governance house in order, right, so according to a recent Gartner study, they say by next year, 75% of companies who have moved their business apps to the Cloud, is going to, you know, unless they have their data management and data assets under control, they have some kind of information governance, that has, you know, context, or purview over all of these business apps, 50% of their data assets are going to erode in value. So, absolutely the need of the hour. So we've seen that great demand from our clients as well, and that's what we've been advising them as well. >> What's a modern MDM approach? Because this is really the heart of the conversation, we're here at Informatica World. What's- What does it look like? What is it? >> So I mean, there are different facets or functionalities within MDM that actually make up what is the holistic modern MDM, right. In the past, we've seen companies doing MDM to get to that 360-degree view. Somewhere along the line, the ball gets dropped. That 360 view doesn't get combined with your data warehouse and all of the transaction information, right, and, you know, your business uses don't get the value that they were looking for while they invested in that MDM platform. So in today's world, MDM needs to provide front office users with the agility that they need. It's not about someone at the back office doing some data stewardship. It's all about empowering the front office users as well. There's an aspect of AIML from a data stewardship perspective. I mean everyone wants cost take out, right, I mean there's fewer resources and more data coming in. So how how do you manage all of the data? Absolutely you need to have AIML. So Informatica's CLAIRE product helps with suggestions and recommendations for algorithms, matching those algorithms. Deloitte has our own MDM elevate solution that embeds AIML for data stewardship. So it learns from human data inputs, and you know, cuts through the mass of data records that have to be managed. >> You know Rajeev, it was interesting, last year we were talking, the big conversation was moving data around is really hard. Now there's solutions for that. Move the data integrity on premise, on Cloud. Give us an update on what's going on there, because there seems to be a lot of movement, positive movement, around that. In terms of, you know, quality, end to end. We heard Google up here earlier saying "Look, we can go into end to end all you want". This has been a big thing. How are you guys handling this? >> Yeah absolutely, so in today's key note you heard Anil Chakravarthy and Thomas Green up on the stage and Anil announced MDM on GCP, so that's an offering that Deloitte is hosting and managing. So it's going to be an absolutely white-glove service that gives you everything from advice to implement to operate, all hosted on GCP. So it's a three-way ecosystem offering between Deloitte, Informatica, and GCP. >> Well just something about GCP, just as a side note before you get there, is that they are really clever. They're using Sequel as a way to abstract all the under the hood kind of configuration stuff. Smart move, because there's a ton of Sequel people out there! >> Exactly. >> I mean, it's not structured query language for structured data. It's lingua franca for data. They've been changing the game on that. >> Exactly, it should be part of their Cloud journey. So organizations, when they start thinking about Cloud, first of all, what they need to do is they have to understand where all the data assets are and they read the data feeds coming in, where are the data lakes, and once they understand where their datas are, it's not always wise, or necessary to move all their data to the Cloud. So, Deloitte's approach or recommendation is to have a hybrid approach. So that they can keep some of their legacy datas, data assets, in the on premise and some in the Cloud applications. So, Informatica, MDM, and GCP, powered by Deloitte, so it acts as an MDM nimble hub. In respect of where your data assets are, it can give you the quick access to the data and it can enrich the data, it can do the master data, and also it can protect your data. And it's all done by Informatica. >> Describe what a nimble hub is real quick. What does a nimble hub mean? What does that mean? >> So it means that, in respect of wherever your data is coming in and going out, so it gives you a very light feeling that the client wouldn't know. All we- Informatica, MDM, on GCP powered by Deloitte, what we are saying is we are asking clients to just give the data. And everything, as Rajeev said, it's a white-glove approach. It's that from engagement, to the operation, they will just feel a seamless support from Deloitte. >> Yeah, and just to address the nimbleness factor right, so we see clients that suddenly need to get into new market, or they want to say, introduce a new product, so they need the nimbleness from a business perspective. Which means that, well suddenly you've got to like scale up and down your data workloads as well, right? And that's not just transactional data, but master data as well. And that's where the Cloud approach, you know, gives them a positive advantage. >> I want to get back to something Abhiman said about how it's not always wise or necessary to move to the Cloud. And this is a debate about where do you keep stuff. Should it be on on prem, and you said that Deloitte recommends a hybrid approach and I'm sure that's a data-driven recommendation. I'm wondering what evidence you have and what- why that recommendation? >> So, especially when it depends on the applications you're putting on for MDM, and the sources and data is what you are trying to get, for the Informatica MDM to work. So, it's not- some of your social systems are already tied up with so many other applications within your on premise, and they don't want to give every other data. And some might have concerns of sending this data to the Cloud. So that's when you want to keep those old world legacy systems, who doesn't want to get upgrades, to your on premise, and who are all Cloud-savy and they can all starting new. So they can think of what, and which, need a lot of compute power, and storage. And so those are the systems we want to recommend to the Cloud. So that's why we say, think where you want to move your data bases. >> And some of it is also driven by regulation, right, like GDPR, and where, you know, which providers offer in what countries. And there's also companies that want to say "Oh well my product strategy and my pricing around products, I don't want to give that away to someone." Especially in the high tech field, right. Your provider is going to be a confidere. >> Rajeev, one of the things I'm seeing here in this show, is clearly that the importance of the Cloud should not be understated. You see, and you guys, you mentioned you get the servers at Google. This is changing not just the customers opportunity, but your ability to service them. You got a white-glove service, I'm sure there's a ton more head room. Where do you guys see the Cloud going next? Obviously it's not going away, and the on premise isn't going away. But certainly, the importance of the Cloud should not be understated. That's what I'm hearing clearly. You see Amazon, Azure, Google, all big names with Informatica. But with respect to you guys, as you guys go out and do your services. This is good for business. For you guys, helping customers. >> Yeah absolutely, I think there's value for us, there's value for our clients. You know, it's not just the apps that are kind of going to the Cloud, right? I mean you see all data platforms that are going to the Cloud. For example, Cloudera. They just launched CDP. Being GA by July- August. You know, Snowflake's on the Cloud doing great, getting good traction in the market. So eventually what were seeing is, whether it's business applications or data platforms, they're all moving to the Cloud. Now the key things to look out for in the future is, how do we help our clients navigate a multi Cloud environment, for example, because sooner or later, they wouldn't want to have all of their eggs invested in one basket, right? So, how do we help navigate that? How do we make that seamless to the business user? Those are the challenges that we're thinking about. >> What's interesting about Databricks and Snowflake, you mentioned them, is that it really is a tell sign that start-ups can break through and crack the enterprise with Cloud and the ecosystem. And you're starting to see companies that have a Sass-like mindset with technology. Coming into an enterprise marketed with these ecosystems, it's a tough crowd believe me, you know the enterprise. It's not easy to break into the enterprise, so for Databricks and Snowflake, that's a huge tell sign. What's your reaction to that because it's great for Informatica because it's validation for them, but also the start-ups are now growing very fast. I mean, I wouldn't call Snowflake 3 billion dollar start-up their unicorn but, times three. But it's a tell sign. It's just something new we haven't seen. We've seen Cloudera break in. They kind of ramped their way in there with a lot of raise and they had a big field sales force. But Data Bear and Snowflake, they don't have a huge set in the sales force. >> Yeah, I think it's all about clients and understanding, what is the true value that someone provides. Is it someone that we can rely on to keep our data safe? Do they have the capacity to scale? If you can crack those things, then you'll be in the market. >> Who are you attracting to the MDM on Google Cloud? What's the early data look like? You don't have to name names, but whats some of the huge cases that get the white glove service from Deloitte on the Google Cloud? Tell us about that. Give us more data on that. >> So we've just announced that, here at Informatica World, we've got about three to four mid to large enterprises. One large enterprise and about three mid-size companies that are interested in it. So we've been in talks with them in terms of- and that how we want to do it. We don't want to open the flood gates. We'd like to make sure it's all stable, you know, clients are happy and there's word of mouth around. >> I'm sure the end to end management piece of it, that's probably attractive. The end to end... >> Exactly. I mean, Deloitte's clearly the leader in the data analytics space, according to Gartner Reports. Informatica is the leader in their space. GCP has great growth plans, so the three of them coming together is going to be a winner. >> One of the most pressing challenges facing the technology industry is the skills gap and the difficulty in finding talent. Surveys show that I.T. managers can't find qualified candidates for open Cloud roles. What are Deloitte's thought on this and also, what are you doing as a company to address it? >> I mean, this is absolutely a good problem to have, for us. Right, which means that there is a demand. But unless we beat that demand, it's a problem. So we've been taking some creative ways, in terms of addressing that. An example would be our analytics foundry offering, where we provide a pod of people that go from data engineers you know, with Python and Sparks skills, to, you know, Java associates, to front end developers. So a whole stack of developers, a full stack, we provide that full pod so that they can go and address a particular business analytics problem or some kind of visualization issues, in terms of what they want to get from the data. So, we teach Leverate that pod, across multiple clients, I think that's been helping us. >> If you could get an automated, full time employee, that would be great. >> Yeah, and this digital FD concept is something that we'd be looking at, as well. >> I would like to add on that, as well. So, earlier- with the data disruption, Informatica's so busy and Informatica's so busy that Deloitte is so busy. Now, earlier we used plain Informatica folks and then, later on because of the Cloud disruption, so we are training them on the Cloud concepts. Now what the organizations have to think, or the universities to think is that having the curriculum, the Cloud concepts in their universities and their curriculum so that they get all their Cloud skills and after, once they have their Cloud skills, we can train them on the Informatica skills. And Informatica has full training on that. >> I think it's a great opportunity for you guys. We were talking with Sally Jenkins to the team earlier, and the CEO. I was saying that it reminds me of early days of VMware, with virtualization you saw the shift. Certainly the economics. You replaced servers, do a virtual change to the economics. With the data, although not directly, it's a similar concept where there's new operational opportunities, whether it's using leverage in Google Cloud for say, high-end, modern data warehousing to whatever. The community is going to respond. That's going to be a great ecosystem money making opportunity. The ability to add new services, give you guys more capabilities with customers to really move the needle on creating value. >> Yeah, and it's interesting you mention VMware because I actually helped, as VMware stood up there, VMCA, AW's and NSA's offerings on the Cloud. We actually helped them get ready for that GA and their data strategy, in terms of support, both for data and analytics friendliness. So we see a lot of such tech companies who are moving to a flexible consumption service. I mean, the challenges are different and we've got a whole practice around that flex consumption. >> I'm sure Informatica would love the VMware valuation. Maybe not worry for Dell technology. >> We all would love that. >> Rajeem, Abhiman, thank you so much for joining us on theCube today. >> Thank you very much. Good talking to you. >> I'm Rebecca Knight for John Furrier. We will have more from Informatica World tomorrow.

>>live from Las Vegas. It's the Cube covering. Inform Attica World 2018 Not you. Buy. Inform Attica. >>Welcome back and run. Live here in Las Vegas at the Venetian Cubes coverage of In From Attica, World 2018. I'm John for the coast to queue with by host the next two days. Peter Barrister, head of research for Wicked Bonds with an Angle and the Cube. Our next two guests from Deloitte. Leo Cabrera, who's senior manager. And Rajeev Krishna, who's the specialist leader on the engineering side. CDO side guys, Thanks for joining us. Thank you, John. Thank you, Lloyd. The leader in a lot of areas, absolutely doing a lot of cutting edge stuff from c'mon, the Blockchain crypto side tax side also in the I t side. You guys have been in a great top customers here in data in from Atticus, leading the charge, looking good with the trends. But the cloud is here. Cloud scale ecosystems developing. How do you guys see in from Attica? Evolving. Going forward, Mostly great messaging. But they still got customers out there that have sold stuff. They want to bring in cloud native new data. What's what's the prospects were in from Attica. >>Foreign Formica, Saudi lawyer. We have this nuanced article data advantage and basically would consider the inflection point between what we call in just 3.0, industry for point. And it's basically now we want to get value out of the data and our data advantage strategy Focus on three pillars. They have engineering wilderness and enable men for as Informatica Isa great component and a great supporter in each of these areas. Right, So, through these study we offer video service is we offer data governance. Studio chief did offer sheet state all of it. Yeah, on. And we partner with Informatica to profile the data to understand what will be the points in which we can find value over the data on off course with the new enterprise catalog to tool to do better governance for our clients. >>I want to get under the hood. I see the catalog is getting a lot of great reviews. Some people think that this is the next big wave in data management, similar to what we've seen in other ways like well, what? Relational databases and every way that comes on cap this catalogue New kind of catalogs emerging. What's your view on this? Is it away? Visit like recycled catalog, is it? >>So get a cataloguing and data. Curation has bean going on for decades, right? But it's never gained traction on, and it's never given Klein's the value because it was so manual takes tons of effort to get it right, right. So what inform Attica is done, which is absolute breakthrough? This embed a i into their enterprise data can log into which kind of accelerates the whole data. Cataloging on basically gives them gives climbs. The value in terms of cutting down on there are packed in terms of how many people, how many data students you need to put together >>So they modernize that. Basically, they exactly all the manual stuff put automation around and put some software to find around at machine learning. Is that kind of the secret to their success? >>Absolutely. And Down Delight has been partnering with Informatica for quite a while. In fact, we are one of the few companies that have a seat on the product advice report s o what we see from the marketplace we cannot feed into in from Attica to say, Hey, here's what you need to build into your products, right? So we be doing that with their MDM solution. For example, we have what we have. Articles indium, elevate. So we build machine learning into their MP and platform and offer. That's a solution similarly, and for America has built the clear platform into their E. D. C s. Oh, that's absolutely driving Valley for clients. And we have a lot of clients that are already leveraging >>a lot of risk and platforms tools, right? I see a lot of data stuff out there that's like like a feature, not a platform, that these guys got a platform, right? So But now the world's changing the cloud. How do you guys take that data advantage program or go to a CDO and saying, Look, you gotta think differently around the data, protect you explain your view on that. >>For us, data is now the center of everything, right? So any business who want to remain competitive in the future needs to get into entire end twin management of the data, getting the value of off data and also understanding what is the data coming from and what is the day they're going to write off course is studded with all the regulations. And now GDP are coming on Friday. It is a big, you know, pusher for companies to realize that over. If >>you have a big party on Friday, a big party or is this what you Katie was a big part. Nothing happened. So you're never mean GDP. Are you guys have a lot going on there? I mean, this is the center of the conversation. >>Yeah. I mean, we do have a lot of clients who need to be compliant on GDP are on informatica is one of the tools that have already pre established the policies, so you can quickly determine where is the data that GPR is gonna be monitoring and looking for compliance on So rather than doing it from a scratch, right? So it takes a lot of it >>for Let's build on this a little bit. So when we talk about different as John was saying, different generations of data management technology, we're coming out of a generation was focused on extract, transform and load where every single application or every single new analytics application wasn't you identify the source is uniquely you build extractions unique. You'd build transformations, you build load scripts. Uniquely all that stuff was done uniquely. Now what we're saying is catalog allows us to think to move into a re use world. We've been reusing code fragments and gets and all these other things for years. In many respects, what we're talking about is the ability to bring a reuse orientation inside the enterprise to data. Have I got that right? You got it >>right. Two minutes. But the most important parties how to get value out of that, right? Because they did >>manage to get value out of using >>it more exactly And understanding, You know, how can improve your operations or you know, the bottom line, or reduce the risk that you have in your data, which is basically CPR is about, >>and one other Salin point is on very scene for America bringing values their completeness of mission. Right. So when you talk about gdp are you need different aspects, right? You need your data integration. Whether it be through cloud around. Promise you need get a governor on top of what you're cataloging, right? You need security data security. Right? So it all comes together in the hole in dramatic solutions. And I think that's very see value is supposed to like pocket pockets >>of guys. I gotta ask you a question. We've seen many ways. I think it's a big way this whole date away. But you guys, you have a term called industry four point. Oh, is what is industry but the Deloitte term. But what is that? What is industry four point? Oh, me. Can you define that? >>You wanna take that door? >>Yeah, sure. So we've seen, you know, revolutions in terms off technology and data on. We've seen people going from kind of the industrial revolution to the dark. Amira, What? Three terms in the street? Four point off where data is annoying, right? So data is an acid that needs to be completely leverage. Not just you look a reactively and retrospectively like How did we do? Right? And not even just for predictive analytics. We've seen that for a few years now. It's also about using data to drive. This is value, right? So are there new ways to monetize data? Are there new ways to leverage data and grow your business? Right? So that's what Industry four. No, no is about. >>That's awesome. Well, we got a lot of things going on here. Thanks for coming on. The Cube had a couple of questions. Got a lot of dishes going on. That preparing for the big opening of the Solutions Expo Hall. We're in the middle of all the action. You're out in the open, accused. What we do. We go out in the open final question, eyes around the CDO. Who should the chief date officer report to the C I O board? What >>do you >>guys seeing? Because the CDO now picking a strategic role if Davis the new oil. That data is the fourth wave of innovation that we've seen over centuries. What does that mean? For the chief Data Officer? More power? Why'd you report to the C i o? Why is the CEO reported the Chief Data officer? What's your take? >>Traditionally our clients in the past, where the mandate for the studios were more in the data governess, right? As of today, it is going more into enablement the data, right? So more than Analytics case. Still, service is so well seen clients going from the studio moving from under the CEO in tow, the CEO and into the CMO in some cases, more about marketing. However, at the lawyer, our proposition is that companies should do a big shift and funded the new data function as a totally new vertical next to H. R next to finance right, which have his own funding and the CDO being the leader of that function, reporting directly to the CEO or >>enablement side CEO handling much of three things engineering, governance and enablement correct. So the CEO will handle Engineering Dept. Which not just its engineering, full stack developers, possibly our cloud native developers. Governance could come into policy, normal stuff. We've seen enablement more tooling, democratization of things. >>Yeah, yeah, >>yeah. I mean, what we've been seeing right in the real world, Liss, you have, for example, finance transformation that CIA full heads, right? So there's a lot of traction at that point to kind of bring the company together. But then that soon fizzles out. Sometimes you have, ah, the CMO bringing on and marketing campaign and, you know, analytics initiative, right? There's a lot of traction. Then it fizzes out. So you need somebody at the chief data officer of the C suite level to maintain that traction that moment, Um, in order freed value. >>But it seems the key issue is someone who is focused on data as an asset generating competitive returns on data as an asset because and the reason why it could be the CEO, it could be somebody else. Historically, an i t. The asset was the hardware on the argument here is that the asset is no longer the hardware now the data data. So whoever whatever you call it, someone and a group who's focused on generating returns out of data, >>Yes. But it has to have that executive level and that new talent mortal that we're proposing right where everybody knows a little bit of data in a sense. >>And the other thing is that I mean, think about this role that's dedicated to creating value of data, right? So you can understand you know how you create value in one function. Take it to the other function and tell them Hey, here's have helped finance right, get more value and then use the same thing marketing our sales. So it's also the cross pollination of ideas across different functions in an organization. S O n roll like that is helpful in terms of >>just to say, the data could very well become the next shared service's organization. That's because you don't want your salespeople to be great with data and your marketing people to be lousy with data. >>Correct. You're totally right on that. That's what we're proposing, right? So data being another vertical in entire business, >>the Lloyd bring all the action here on the Q. With all the data they're sharing here to you. It's the Cuban John for With Peter Burst, more live cover. Stay with us. We're here in Las Vegas. Live for in from Attica, World 2018 day. One of two days of wall to wall comes here out in the open. Bringing you all the data is Thank you. Stay with us.