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