 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 my co-host, John Furrier. We have two guests for this segment. We have Abhiman Matalapudi. He is the product master at Deloitte, welcome. Thanks for having us. And we have CUBE alum, Rajiv Krishnan, our specialist leader at Deloitte. Thank you both so much for coming in. Thanks, Rebecca, John. Always good to be back here. I love the new logos there. What's the pins there? What's the take on those? It looks like a honeycomb. Yeah, so interesting that you asked. So this is our joint Deloitte Informatica label pin. You can see the Deloitte green colors and the Informatica colors. Nice, beautiful. This shows the collaboration, the great collaboration that we've had over 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 if we go like 10 years back, the collaboration between Deloitte and Informatica has not always been that strong, and specifically because Deloitte is a huge place to navigate in order to have those meaningful collaborations. But over the past few years, we've solved relationships with Informatica and VoiceAverse. I think we see great value with the clear leaders in the data management space. It's easy for us to advise clients in terms of different facets of data management because no other company actually pulls together the whole ecosystem this well. Well, you're being polite. The reality is you know where it's weak and where it's real. The reality is there's a lot of fud out there, a lot of noise. And so I got to ask you, because 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 can say, hey, we want to make data-driven organization. SaaS apps everywhere. Yeah, absolutely. I mean, every company wants to be more agile. Right, business agility is what's driving companies to kind of move all of their business apps to the cloud. The problem with 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, unless they have their data management and data assets under control, they have some kind of information governance that has context or preview over all of these business apps, 50% of their data assets are going to erode in value. So absolutely the need of our, so we're seeing 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 hear at Informatic Oral. What is it look like, what is it? Yeah, so I mean, there are different facets of our functionalities within MDM that actually make up what is a 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 transactional information, right? And your business users 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, right? It's not about someone in the back office doing some data stewardship. It's all about empowering the front office users as well. There's aspect of AIML from a data stewardship perspective. I mean, everybody wants cost takeout, right? I mean, there's fewer resources and more data coming in. So how do you manage all of that data? Absolutely need to have AIML. So Informatica's Clare product helps with, you know, suggestions and recommendations for algorithms, match merge algorithms. Deloitte has our own MDM elevate solution that embeds AIML for data stewardship. So it learns from human data inputs and 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 the 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 end to end all you want. This has been a big thing. How are you guys handling this? Absolutely. So in today's keynote you heard Anil Chakravarti and Thomas Gurian 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. Which is about GCP just as a side note is before you get there, is that they really clever, they're using SQL as a way to abstract to all the under the hood kind of configuration stuff. A smart move because there's a ton of SQL people out there. Exactly. I mean it's not structured query language for structured data, it's lingua franca for data. They're 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 do they have to understand where the data assets are and where the data feeds coming in, where are the data lakes and once they understand where their data are, it's not always wise or necessary to move all the 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 data assets in the on-premise and some in the cloud applications. So Informatica MDM on GCP, powered by Deloitte, so it acts as a MDM nimble hub and irrespective 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... Describe what a nimble hub is real quick. What does a nimble hub mean? What does that mean? So it means that irrespective of wherever your data is coming in and going out, so it gives you very light feeling that the client would don't know. All the Informatica MDM on GCP powered by Deloitte, what we are saying is we are asking client to just give the data and everything as Rajiv said, it's a wide-glow approach, is that from engagement to the operation, they will just feel seamless support from Deloitte. And just to address the nimbleness factor, right? So we see clients that suddenly need to get into a new market or they want to say, introduce a new product. So they need that nimbleness from a business perspective, which means that, well, suddenly you've got to 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 gives them a positive advantage. I want to get back to something that Abhimans 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-prem, should it be? And you said Deloitte recommends a hybrid approach and I'm sure that's a data-driven recommendation. I'm wondering what evidence you have and why that recommendation? So, especially when it depends upon 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 some of your source systems are already tied up with so many other applications within your on-premise and they don't want to give away the data and some might have concerns of sending this data to the cloud. So that's when you want to keep those all-world legacy systems who doesn't want to get upgrade to your on-premise. And who are all cloud savvy and they can, or starting new, so they can think about 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 when you want to, where you want to move your databases. 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. And especially in the high-tech field, right? Your provider is going to be a competitor. Rajeev, one of the things I'm seeing here in the show is clearly that the importance of the cloud should not be understated. You see, and you guys, you mentioned, you get to serve with Google. This is changing not just the customer's opportunity, but your ability to service them. You got a white glove service. I'm sure there's a ton more headroom. Where do you guys see the cloud going next? Obviously it's not going away and on-premises is 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 that 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 this value for us, this 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 whole data platforms that are going to the cloud. For example, Cloud Error. They just launched CDP. Being GA by July, I'll guess. You know, Snowflakes on the cloud doing great, getting a good traction in the market. So eventually what we are 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, right? Because sooner or later, they wouldn't want to have all of their eggs invested in one basket, right? So, you know, how do we help them navigate that? How do you make that seamless to the business user? Those are the challenges that we are thinking about. What's interesting about Databricks and Snowflake, you mentioned them, is that it really is a tell sign that startups can break through and crack the enterprise with cloud and the ecosystem. And you're starting to see companies that have a SaaS-like mindset with technology. Coming into an enterprise market with these ecosystems, where look, 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 startups are now growing very fast and now we call Snowflake, $3 billion startup. They're a unicorn, but times three. But it's a tell sign. This is something new we haven't seen. We've seen Cloud Air break in. They kind of ramped their way in there with a lot of rays and they had a big field sales force. But you know, Databricks and Snowflake, they don't have a huge sales force. Yeah, I think it's all about clients 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're winning the market. Who are you attracting to the MDM on Google Cloud? What's the early data look like? You know the name names, but what's some of the use cases at 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-sized companies that are interested in it. So we've been in talks with them in terms of, and that's how we want to do it. We don't want to open the floodgates. We'd like to make sure it's all stable, clients are happy and those word of mouth are on. I should like the end-to-end management piece of it. That's probably attracted the end-to-end. Exactly, I mean that's, so I mean we are clearly Deloitte's clearly the leader in the data analytics space, according to Gardner reports. Informatica is the leader in their space. GCP has great growth plans. So you know, the three of them coming together, it's 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. Survey show that IT managers can't find qualified candidates for open cloud roles. What are Deloitte's thoughts on this and also what are you doing as a company to address it? Yeah, I mean this is absolutely a, it's a good problem to have for us, right? I mean, which means that there's demand, but unless we meet 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 part of people that go from data engineers, you know, with Python and R and you know, Spark skills to, you know, Java resources to front end UI developers. So a whole stack of developers full stack, provide that full pod so that they can go and address a particular business analytics problem or you know, some kind of visualization issues in terms of what they want to get from the data, right? So ability to leverage that pod across multiple clients, I think that's been helping us. And you can get an automated full-time employee, that'd be great. A digital FTE. And this digital FTE concept is something that we've been looking at as well. I would like to add on that as well. So earlier because data, with the data disruption Informatica is so busy and Informatica is so busy that our Deloitte is so busy. Now, earlier we used to train 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 have to think is that half in the curriculum, the cloud concepts in their universities and the curriculum so that they get all the cloud skills and after once they have the cloud skills, we can train them on Informatica skills and Informatica has full trainings on that. I think it's a great opportunity for you guys. We were talking with Sally Jenkins, we'd see him earlier in the CEO. I was saying that it reminds me of early days VMware with virtualization, you saw the shift. Certainly the economics, you replace servers, you go virtual, change the economics. With the data, although not directly, it's a similar concept where there's new operational opportunities, whether it's using leveraging Google Cloud for say high-end, modern data warehousing to whatever, the community's going to respond. It's going to be a great ecosystem money-making opportunity, so the ability to add new services, give you guys more capabilities with customers to really move the needle on creating value. And it's interesting you mentioned VMware because I actually helped, as VMware stood up there, VMC on AWS and NSX 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 readiness. So we see a lot of such tech companies 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. You could be not worried for Dell technology. We all would love that. Rajeev Abhimans, 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.