 Hey everyone, good morning from Las Vegas. It's theCUBE live at Clickworld 23 at Mandalay Bay, Lisa Martin and Dave Vellante here all day covering data integration, analytics, active intelligence, AI. Dave we're going to have a great conversation with a lot of great guests here, really unpacking the power of how organizations can put data first to deliver outcomes. Well you know we love data on theCUBE of course and many in our audience will remember sort of the big data days. The early days theCUBE was an integral part of some of the early shows, what was Hadoop World that turned into Strata, then we had our own big data NYC, big data SV in the heart of Silicon Valley. And Click at the time came on, a number of those early shows and Click was a competitor and still is of Tableau and the whole thing was visualization, they were sort of disrupting the traditional Cognos BI where it took you forever to build cubes and it was a much more agile and powerful way to present visualization. Well, you know that market sort of started to change. In fact, both companies, Click and Tableau were primarily on-prem companies, you know kind of a desktop tool if you will and the cloud, this thing called the cloud was coming in so what Tableau did is they brought in Adam Salipsky to move to the cloud and he ended up selling the company to Salesforce and now that thing's you know sort of sideways right because Salesforce has a number of active investors and so they're a little bit distracted so that's kind of an interesting play here but the interesting move about Click is they completely transferred the company. They went in 2016, they went private. Tom Abravo, the private equity firm who's you know making some big moves, bought them for I think it was $3 billion, yeah it was $3 billion transaction. And then they began to transform the company not in the public eye, so sort of a Dell-like move, let's do this privately and then they brought in Attunity who was another early CUBE participant in the big data days and they do you know some pretty interesting replication and moving data around and that's kind of as a key little enabler to Click's transformation and then it really has become this data integration company with some pretty cool you know legacy tooling on-prem for visualization but now building out this data integration play and I'd love to take you through kind of you know some of the things that I've learned just researching the company up to this point but basically they brought in you know the CEO Mike Capone a couple you know five years ago who you heard about today and we'll talk about the keynote and they've gone through this massive transformation they filed a confidential IPO in January and then Taland which bought, oh sorry, Tom Abravo which bought Taland they clicked just announced it's going to acquire Taland and bring that in so now they've got this full end-to-end vision of data integration and something that we should unpack here and we definitely will you mentioned Mike Capone five years as CEO this is Click's 30th anniversary so from an M&A perspective especially in the last few years alone they've actually been quite active you talked about the Taland acquisition that Mike said it is keynote this morning is expected it sounded like what he said was it's expected to close this quarter and what that's going to enable them to achieve from a competitive differentiation perspective you talked about Tableau being Salesforce being a bit sidetracked so they've got some potential advantage there they had some great customers on stage this morning they were actually we've got Harman coming on Ford was here I always love history companies like Ford 100-year-old company that is massively digitally transforming that connected car is something that we're all very excited about using day-to-day but what they're able to help companies do in terms of extracting value from data moving it to where it needs to be getting it into the right hands so that people across companies whether it's Ford or a company like Harman or JBS who's coming on can actually drive insight from that in real time which is what we all expect these days and take action so it's going to be an interesting conversation set that we're going to have today you mentioned Ford I think the Ford mentioned they have I think 650 data elements that they bring into their whatever data warehouse or data platform or whatever it is and I saw just this past week GM announced that it's canning Apple CarPlay I don't know if you use Apple CarPlay I don't okay so Apple CarPlay is you know basically you can plug it in and basically you kind of get your Apple and it renders on the screen so it's kind of convenient but it's Apple and so you know they kind of take over everything but you can get your Spotify you can get your Waze you can get your whatever you know music player or other sort of you know thing that you want to listen to other radio stations et cetera all through that Apple CarPlay GM's going to do it themselves now because they're going to bring in telemetry or on the vehicles and they're going to now compete with Apple for data which I think is insane and so but the point I'm making here is when you have 650 data elements that's probably going to multiply to 650,000 over the next 10 years you've got to figure out how to make all these things work together and it's a real challenge and so data integration which is really what CLIC is all about is part of that big challenge so let me just take you through Lisa some of the sort of the you know my version of the history so 2016 CLIC was about they were a public company about a $720 million run rate company I think they did $180 million in the last quarter before they went private they got bought for $3 billion from Tomah Bravo in 2019 they bought a Tunity which was just under a $100 million revenue company and they bought them for half a billion dollars 2021 Tomah Bravo buys Taland which is about a $300 million revenue company for 2.4 billion okay and now they're going to integrate that but a number of other acquisitions Blender I.O. which does I-Pass NodeGraph which does governance and lineage BigSquid was the machine learning AI we heard Mike talking about that this morning PodiumData which does a catalog which keep track of all these different data elements ROX AI obviously AI AI CrunchBot for natural language processing they bought a Geo Analytics company so you add all this up and now they talk about the IPO so I love to speculate I got to figure that if CLIC was a say a $700 million run rate company in 2016 even conservatively growing at 20% a year they're now talking to throw all this stuff together they're, I would got to say $3 billion roughly in revenue if you look at Altrix Altrix is growing probably faster but not profitable trading at probably 4X revenue so you're talking about a 10 to 12 billion dollar valuation even in this crummy market so we'll have to ask my component about why the IPO and I think he's made some public statements around this like looking at the markets waiting to see what's right there and what the right timing is but I mean for Tomor Bravo you're talking about they've got maybe $6 billion in hitting a double at IPO that would be pretty good if the market really takes off to back to where it was with all this generative AI stuff it's not uncommon that software companies that are growing 30% a year getting 10X so you could be looking at 20 to 30 billion dollar valuation again that's in a different market than you have today Databricks is probably somewhere in that range today too with a much smaller revenue but a much higher growth my point is a great return for Tomor Bravo and a complete transformation coming from the hidden world of private equity out into the public market again again like Dell but different in that they're a software company not a hardware company what were some of the things obviously that this morning's keynote light in terms of announcements they had some press announcements this morning with customers Herman being one of them who's going to be on later today the product keynote is tomorrow we do have a chief product officer on today but in terms of some of the things that you heard from a visionary perspective from CEO Mike Capone what are some of the things that impressed you? Well so one thing I heard is he doesn't like crypto I don't have to ask him about that Right So I love crypto but anyway, he talked about sort of what I'll call the future of the industry and my words not his but basically my takeaway was we're shifting into a data driven environment so and the world is very application centric right now all the data is locked inside of the SaaS apps so in other words the data is inside the business logic and everybody tries to take it out and shove it into a database you know data platform cloud you know Snowflake calls it the data cloud they don't use the term data warehouse anymore it's good marketing but it is a data warehouse and but that platform is growing so that's why it's I think correct to call it a data cloud because it's not just a data warehouse anyway, the world is shifting to a data centric world meaning to me that you're now going to see the business logic more embedded into the application or into the data in other words data apps so he sort of talked about the new way versus the old way and to me that's the new way again these are my words not his and he did talk about talent and how this is going to complete you mentioned this quarter and that they've now going to come out with a whole new persona in terms of the company and its value prop so that was kind of interesting Crawford Dell Pratt gave what I thought was a pretty good presentation he called this the era of multiplied innovation the era of intelligent automation kind of stole that from I don't know Gartner UI path or anyway maybe IDC came up with it first and Gartner stole it from them and basically saying hey the time to creation with all this GPT stuff is going way, way, way down and he's right so he talked about 2007 was the iPhone and the cloud and what the interesting thing is we heard it twice this morning this is not going to require this data driven world not going to require a shift in platform in hardware platform and basically platform I'm sure I agree with that I want to ask Crawford about that because I think we're already seeing it in some respects and then Ford talked about connecting everything which was kind of cool they're running their stuff on GCP and they got all these dashboards what I liked about what she said was and I apologize to forget her name was they have all these dashboards and most of them are being built by business users which is kind of cool because building these dashboards through this big data pipeline is painful so I'd like to learn more about that but they have 650 data sources that they're bringing together and then we heard like you said from some customers that we're going to talk to later on in theCUBE so pretty strong story but really a story of transformation people who thought the CLIC is just this Viz company sort of was interesting in 2011, 2012, 2013 and then kind of disappeared into the private world now coming out with a whole new suite in portfolio which looks very strong they have a very strong customer base 38,000 customers across 100 countries we mentioned some that were on stage some that are going to be here with us today we're also going to be talking about data literacy and when we think about like just all these patterns that are emerging in data management and how things are changing everybody talks about data democratization across organizations but I want to talk with them today but how do you make people, business users data literate so that the value can be extracted in real time one of the things Mike talked about this morning was foresight nobody ever did well by looking in the rearview mirror need to be looking forward but need to be able to act on data in real time but enabling people across organizations to become data literate so that they can enable that democratization across organizations is something I'm interested in understanding from CLIC as well as from the customer base well I think generally business users are highly data literate I think the problem is the organizations aren't because there's so much disparate data running around so you'll be at a meeting where does that data come from because I know my business and that's wrong well that's what the data warehouse says you know that's the single version of the truth well I'm telling you it's wrong because everything changed because you know the market did this yesterday and interest rates went up and the Fed raised about whatever it is so everything's changed so this idea you know the mental model that we've been working on at Silicon Angle theCUBE and Wikibon our colleague George Gilbert is the Uber model where you have all these different data elements you have drivers and riders and ETAs and destinations and routes and those are all independent data elements but in the world of Uber they're coherent and they're real time right that's not like you have to put them into a data warehouse and then do some transformation and get them back and then figure out what time the driver's going to be there sometimes Uber's a little off on its estimates but okay we'll give them you know a little benefit of the doubt because it all happens in real time it's pretty amazing and magical well Uber's built a layer a data platform essentially you know using existing technologies but it's coherent they've got the all the semantics are in there that they each of those data elements understands each other and so so that's an example of an organization that has coherent and is data literate most organizations don't have that most organizations again they put everything into a data platform or data warehouse and then it immediately becomes out of date and I think the world is moving toward an era where people places things are essentially a digital representation of your business and that is going to I'm coming back to your point about data literacy that's going to allow the people who are data literate to actually move faster because they can get alignment they can get agreement there won't be a lot of debate about whether or not the data is right Mike Epon said if the data quality is not there nobody's going to trust it no and so you got to trust the data or nobody's going to use it and so that's I think the path toward data literacy awesome it's going to be a fun day Dave I'm looking forward to unpacking all of this what's going on with Klick and their partner ecosystem and their customer ecosystem we've got Mike Epon up next with Crawford Del Pratt got to be talking about what's going on there we'll unpack a little bit about Thailand and maybe even get Crawford to to share with our viewers some of the things that the innovative things that he shared this morning in terms of IDC's vision on where the market is going it's going to be a fun day awesome all right photo we encourage you to watch us all day long Lisa Martin, Dave Vellante here at Klick World 23 stick around we'll be right back with our first guest the CEO Fresh from the keynote stage we'll see you in a minute