(upbeat music) >> 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'm your host, Rebecca Knight. We have two guests for this segment. We have Ronen Schwartz. He is the senior vice-president and general manager, Big Data Cloud and Data Integration at Informatica. Welcome Ronen, Welcome back, Ronen. >> Yes, pleasure to be here. Welcome to Informatica World. >> Thank you. And we have Daniel Jewett, VP Product Management at Tableau. Thank you so much for coming on theCUBE. >> Thank you for the welcome, Rebecca. Happy to be here. >> Yes So there's some big news that's going to be announced later today. Tell us about the partnership with Tableau and Informatica. I Want to start with you, Ronen. >> Yes, So Tableau been an amazing innovator in the area of data visualization, analytics. I think more than all they've actually opened the ability for more people to use data. And Informatica have been very excited to partner with Tableau on this journey of how do we empower more users, more company, to become data driven. So I think very exciting partnership. A lot of innovation. A lot of great capabilities. >> So we hear so much about the explosion of data and how much its use is being just across the enterprise. More and more functions are using data to make their decisions. How does this impact the strategic importance of data? >> Yeah, absolutely. Well, the relationship with Informatica for us has become important over the years as that data has exploded. Right, it used to start off, you had a spreadsheet of some numbers and you wanted to try and understand what was in there and Tableau helped you with that. But then as data lake started coming on the scene and not just a single data lake but multiple feeds of data and streaming data and data's here, and data all over in Europe, and data's wherever it happens to be, that becomes a real challenge for the individuals who have some questions about data. So Tableau's only as good as the data that we can get our hands on. So to have a great partner like Informatica, who can marshal and rationalize where all that data is is a valuable partnership for us to have. >> And it's really about data governance but then also about democratization of data and analytics. Want to talk about that a little bit, Ronen? >> Yes, so I think democratization of data actually depends on your ability to have built-in governance. So that the users are using the right data at the right time. And the organization actually understands what is available where. I think this is actually one of the sweet spots for the partnership. >> Right. >> Actually, the ability of Tableau with a very easy interface to allow everybody to really work with data and the ability of Informatica to enable everybody to get the data in a governed way when you can actually control the quality and the availability of the data is actually our sweet spot as partners. >> There's some real tension there between the democratization and the governance side, right? So from a business user's perspective, democratization means, I want to use that data and I want to start working with it. From a business user's perspective governance, typically means no. IT says you can't use that data or you can't have it or it's too complicated for you. So to be able to break that down and say no. Data catalog and some of the tools from Informatica make the data available in an accessible and friendly manner and understandable manner, is what enables the democratization to happen. So it's kind of turning that "no" into a "yes, let me help you", which is a big difference. >> And how is that relationship between IT and the business side? How would you say that it has evolved in recent years as there is more of a push and pull between these two functions. >> Yes, it's definitely evolved over the years. So as Ronen said, we have been working for a long time. I think we officially became partners back in 2011. There was probably some tension out of a lot of accounts between the IT camp and the business camp and we were always the flag bearers of the business users As we've seen over the years, business users get frustrated by untrusted data and not being able to find data. So as the IT organizations have helped bridge that gap I would like to think we're helping put that olive branch in between the two. The two camps have companies with the products working together. >> I think, imagine that instead of IT actually being on the way of people using data. IT is really giving the power to find the right data to the business users. And this is actually, instead of, like, the user really, working really really hard to get the data, now it's in their fingertip. They can find it. And when they find it, they can use it all the way from the source into Tableau in a very very easy way. >> And trust it. >> And trust it. >> The value add >> The veracity, exactly. >> I can find a lot of data easily but most of it is not trustworthy and I don't know if I want to do my analysis on untrustworthy data. So to be able to trust that data that I've come across is really important. >> We're talking a lot about AI and machine learning here. How do those two concepts, ideas, approaches, methodologies play into Tableau's vision? >> For Tableau, we've always been the company that wants the human as part of the process, right? We think people are curious and we want them to explore that data and work with that. So, at first glance you might think AI and machine learning doesn't fit in with that but we think there's really a powerful way for it to do it. Instead of a machine learning solution handing you the answer, we want the machine solution to say, we think there's something interesting here that you should go explore more. So that's the angle that we're putting our investment in. >> So putting the human into these tech >> Human still needs to be >> Human centered >> in the loop >> machine learning. >> and the machine can help coach you along the right way to make those inferences around the data. >> Final question. We're talking a lot about the skills gap. It is a pressing problem in the technology industry. Ronen, I'm going to start with you. How much does this keep you up at night? And what are you doing to ensure that you have the right technical and business talent to fill the open roles you have on your team? I think, I don't know if, I probably answer it in a relatively unique way. I think one of our job as a vendor is actually to empower more users to do more complex tasks, actually without the necessity to build a huge skill set. And I think today, especially in this event, a lot of the clear AI technologies really coming to give user that are less skill a lot of power. And this is actually a critical thing in order to address the new needs, right? So the needs will continue to grow. The demand is going to continue to grow. We believe that a big part of answering the demand versus supply is by empowering new users to participate in an effective way within the integration, data management analytics space. So we're making a major major effort there. But we're also adding a lot of guided, a lot of advice, a lot of optimization that is done for the users automatically so the users are more effective. I still think that the need for talent is only going to grow. It's not just a growth in the data. It's the growth in the demand for data and the growth in the demand for good data. So I think a lot of enablement, a lot of investment in people, and the technology to actually empower more users. >> Daniel? >> Yeah so for us part of the onus is on us to make the software easy enough to use and understandable for the audiences that are coming across it. So there's really no reason why everybody can't be an analyst. They might be afraid of that title but you're all working with data. You're looking at your phone, You're looking at your steps, You're looking at everything. Data. It's as simple as that. But data comes across your landscape in a lot of ways. So it's up to us to make the analytic flow as easy as we can and understandable as we can. But it's also up to us to help grow the skills. You can only make it so easy 'cause sometimes doing analytic task and working with data is just hard. There are complicated things. So what can we do to uplift the skills? We do a lot with Tableau for teaching and trying to nurture education programs all the way from K to 12, and up in universities to try and seed the universities' and elementary school instructors to start introducing the concepts of working with data at early ages. And then in college, there's whole classes that people use Tableau in to help understand the analytic process. So it's a little step and it's a forward looking step. The payoff won't be for many years until those people get into the workforce. >> We're starting them young. (laughing) >> But you have to. >> Mommas, teach your babies data science. >> Absolutely. (laughing) >> Daniel, Ronen, Thank you both so much for coming on theCUBE. It's been a great conversation. >> Excellent, >> Thank you. >> thank you, Rebecca. >> I'm Rebecca Knight, we will have much more of theCUBE's live coverage of Informatica World 2019. Stay tuned. (upbeat music)