>>live from Las Vegas. It's the Cube covering Splunk dot com. 19. Brought to you by spunk. >>Welcome back to the Cube, everyone. I'm John Ferrier with an angle on the Cube here in Las Vegas for Splunk dot com. 19. It's there 10 years of their customer main event. All the top customers and partners were here and, of course, accuse. Been covering dot com for seven years at a great guests from a censure. Mike Heinlein. Ecosystem Adventures. Global Analytics Plays and offerings lead a century Now. First of all, welcome to the Q. Thank you, John says. You're always has >>long titles. It's a very long title. Your lead. That's a mouthful. Offerings. Yeah, this >>meanings to these titles of the century. This, like >>Esso, I'm part of the Ecosystem Adventures Group, which helps to incubate our various different channel partners. And Dr Service is with those partners and then within the splint partnership. I'm focused on driving analytics offerings with various different practices that are already considering analytics and taking those >>to market. So you guys have a relation with spunk is evolving pretty quickly. >>It is >>what's the future look like? What's the current path >>Well, as you may be aware, we recently renewed our partnership with Bronco back in February. After two and 1/2 years, we had achieved most of our goals. And where we were starting to see is that where our initial objective was to help our clients to get Maur costs takeout and risk associated with their I T and Security operations way also learned a few things along the way, which is the Splunk Analyze politics engine can also be used outside of I t and Security and we can start to take it into industry verticals. And so one of the exciting things that we're doing is we brought our digital practice into the tent with us. We renewed in February, way have a couple of years. We're looking into the future, and we're gonna not only double down in i t and Security, but we're also going to start to build business analytics and io ti type solutions on top of within the vertical industries that were focused on one >>of those industries. Can you share them? >>Yeah. Yeah, so? So it would be things like energy utilities where power line analytics to reduce the amount of vegetation that might take out power lines cause fires cause outages. Patient flow, which would be how to help accelerate getting patients through the e. R and also increase throughput. Four Hospitals within supply Chain We're doing number of different things way have four different offerings that focus on technology, telecom, retail, consumer goods and manufacturing. So, like industrial type clients, >>so pretty much standard vertical industry that we normally see that's cracking in the business. Yeah, so I'll get your thoughts on this. One of the observations I want to share with you and get your reaction is is that with cloud and with data, it's interesting these day. There's a really key part of all this you mentioned. I I t and Security. Obviously, it's pretty straightforward. You see, that way started adding machine learning and a I and the things that domain expertise of these verticals become the pacing item the ke ke i t, if you will with scale of that what's going on? That's right level. Are you seeing that this is a fertile ground for opportunities that how you guys see it? Can you >>you Absolutely I think I think where it centuries strong is in our industry, Ackerman not just to 19 security, but within different industry verticals on. Then you take our digital practice, which is where our data science is live, where they're developing advanced analytics models and essentially working with a lot of the open source modeling tools like python that integrates very well a Splunk. It gives us the opportunity to take that data that could be bundled up. It could be data rest, maybe three years of sales data, and we create a forecast with it and do that on top of spunk. Or maybe something where within a supply chain or a flow within a hospital, were able to use machine learning to start to move some of the computer and thought from human beings to machines >>were some of the innovative service is you guys have built on top of Splunk because they're enabling platform. So again, opportunities. What are you guys doing in the >>soles? So both in the retail and in the technology space, we've created a couple of punishment engines. When you think of a supply chain, I need to know what my forecast is. What do I plan to sell? How many items. Do I need to have an inventory in the warehouse and in the store? And then how am I gonna get those items? And then how many should I order the next day? So we're using Splint to figure all of that out. >>What sort of surprise? Learnings You've got a deal with flunk because has always seems to be a new revelation when people get data and they start playing with insights. Beyond that, some sort of business breakthroughs are weird. Things happen when you start playing with data. Any anecdotal surprises, their learnings. You've seen >>a, well, a tremendous number. And in fact, what what happens is when you start to open up the silos. So most of our clients are stuck with a lot of legacy technologies that they've acquired over the last two or three decades. Splunk enables to open that Optimus get insights that we couldn't before. So it could be it could be. I could get a patient through a particular process, you know, twice as fast is what historically had been able to do. Or maybe for examples, something that Doug Merit mentioned yesterday, which is where we're partying very closely with Splunk for human trafficking. We've created an offering where split it already gone out created Data Lake of a lot of data from educational entities. Ngo's government agencies we took that builds a machine learning on top of it and able to identify high value targets or establishments that have a high risk of human trafficking, which is already starting to get results. In Florida, >>you mentioned health care no multiple times, someone of your key verticals. >>It is one that's emerging is very exciting. And it's kind of evidence of where we're working really well, a sponge. A lot of cases we've developed things that we take into Splunk, and we go to market together. In this particular case, Splunk created patient flow, took it to us. And now we're working to identify about a dozen different hospitals where we're gonna go meet with their CEOs and talk to him about what we can do to help them increased profit and patient satisfaction at the same time. >>What some of those conversations, like when you go and knock on the doors and say, Hey, I got a new secret weapon to solve your problems because this is its new things that people have these problems that couldn't have attacked before in the past. Now they have potential capabilities. What are some of those conversations? Take out there like Come on in, educate me. I want to buy right away or door slammed in your face and get his attention. >>Well, so way just had a really exciting meeting with a very large brochure in the Midwest. And as was explaining the different things that we could do a Splunk she actually the head of supply chain. Excuse me. It almost seems like fairy dust to me. In other words, the hardest challenge that I have sometimes is able to say, Look, you're used to doing this 24 months, maybe 36 months. I think I could do it free in less than six, and that's just so hard for them to absorb. So So a lot of cases it's it's transitioning to Well, let us figure out how we could prove that to you. Doing some kind of a concept or a pilot. >>You know, it's interesting is that you know, when you see people get set up with data platform, it's kind of editor of stage. Let's set the foundation. Let's make sure things flowing in you well. And then they started getting some discoveries here and there, and then they get business value, and then it kind of goes to another level. I think this is where things I see you guys doing well and others here in the ecosystem floor, and that is that It's a workflow optimization issue, I think. Wait a minute, way have all this data. Well, let's go do this. That's a little bit more of a ballistic business process or some sort of. >>That's right. Your >>challenge. Is that how >>you Yes. So I would say you always have a business process, at least in the industry verticals, and you have a lot of data that silo on. Then you crack those silos open on, then it's really basically intersection of what we would call planning and execution, which is, for example, maybe I have on oil rig and I have a ship that is taking materials and people back and forth. But now I know that I have actual things. Head into that port where if I send this ship now, I'm gonna have to come back in the next 24 hours. If I hold that ship off for two or three hours, then I can get more materials and people on board, and I don't have to come back for another 48 hours. So now I've just reduced greatly my operating costs. >>And I think that's interesting. Is that you think about what you just said, Yeah, go back 15 years. What's the data base scheming and make that happen. Date is over there, it's over. They're gonna write a query that Leighton see. It never happens. >>It's Jackie, right? So we're kind of out of the business of trying to fit square pegs into relational round holes, which takes the better part of maybe 50% of a lot of projects to implement those solutions. And so, with spunk, you're basically dumping the date end and you're layering your scheme on top of it, which enables you to accelerate delivery. And additionally, I don't have to cobble together and stitched together multiple technologies to do ingestion analytic storage visualization so I could mobilize teams much more quickly. Then it would traditional solutions. >>You know, Mike, I'd love your thoughts on the center's transformation because looking at you. What you guys have done is a company. It's been interesting, a lot of successes. But firm's been around for a while, right? So impressed. Different names don't back the old school back minicomputers. You know, rolling out projects had long arises. Multiyear. Now the speedy a name has completely changed clouds. Here you got data. How has the Splunk on these Modern technology has changed the centers engagement practices. >>I think you're touching on what we would probably call agile delivery, right or continuous delivery, where our clients don't want to push off from shore into a big bang project where they don't get to see the results for 12 to 24 months. That's a lot of risk for them. So what's book enables us to do, really is to do a delivery and deliver value in Angel's sprints in three 12 you know, 16 weeks sprints where we're literally be giving them value. We also don't have to understand all of the data. If you're using relational databases, you pretty much have to understand everything before you push off from shore with spunk. I can no minimal amount and start and deliver value, and then as I go, I'm learning more about my data. I could deliver more use cases and more value. >>It's interesting, you know, go back to the old enterprise sales model. You know, you do a pilot or a POC poc that a pilot with pilots, a date and that's what months and then Then the decision makes. And then you got to start over for the time that it'll happen in about months. A year. Yeah, technology changes. >>That's right. >>You guys are doing essentially agile sprints that are kind of like a little Mini p O sees. That's that's correct. Docs are actually really work. >>That's right. That's >>the new seems like the new sales model is that >>Well, I would say it's something that, with the rapid prototyping capability, like a sponge that gives us that flexibility todo depending on what we're doing, we may not have that flexibility. We may be limited by the technology. >>How would you describe the strength of censure Splunk partnership? >>It's a very strong So like I mentioned before, we way started to a nap three years ago. Way just renewed that relationship in February, and we've added more practices from within Accenture like digital practice. So now we have strategy, digital technology and security. We're focusing in doubling down and security in our I T markets, but also then starting to explore new industry verticals in Business analytics and Io Ti. As I explained earlier, we're bringing things to Splunk in there helping us cell, and they're bringing things to Austin. We're helping themselves, and there's a lot of excitement. I mean, I think it's really a combination of the right people with the right industry knowledge at the right time with the right technology. >>Final question in the industry For a while, you see the waves pretty big wave run now. Lot of confluence coming together. Multiple different Durant cloud data scale, everything speed. What's exciting you these days? What's the big story that people should pay attention to right now? Well, in this space, I >>think it really dovetails into Doug Steam, and I don't mean Thio, really, you know, piggyback on that. But it's true, and that is that so many of our clients, you know, still have a lot of technical debt from decades ago, and we get to come in there and say, Look in a matter of weeks and months, we could help You make sense of this way, can help you capture revenue you couldn't capture before Dr Out costs that you couldn't drive out before and reduce risk that you couldn't reduce before. So I mean, it's it's probably the best time of my entire career. >>Frankly, Cooper, daddies and certainly containers helps. Yeah, make those legacy workloads somewhat compatible with modern infrastructure. When you have those technical debt conversations with customers kind of realizing like I'm on the verge of bankruptcy, what do I do it? Is it more advisor? You guys come in, more counseling slash get developed? >>Yeah, yeah, A lot of times it's It's helping them to come in and assess what their situation is. Help them build a road map into the future. Sometimes it's rationalizing some of the technical debt. Sometimes it's how can we augment what you already have? And then and then in the future is that reaches end of life. We almost just turn it off. But you're up and running, you know, on this other platform that we've augmented into that ecosystem >>So tech flow positive. >>There you go. >>Yeah, cash flow positive take from technical debt from checked bag. Mike. Thanks for coming up. Appreciate it. Thanks for the knights. Thanks for having me. Great insights. You get all the data and the insights here. Workflow is rocking the cube. Second day of three days. I'm John Barrymore coverage after this short break.