 We're back, this is theCUBE, SiliconANGLE's flagship production, we're live at the Splunk.conf 2013 event. This is the second year for theCUBE at .conf and we're really proud to be here. Splunk is one of those really smoking hot companies. We've noticed a renaissance going on in IT and you're seeing companies like Splunk behind it. You know, we're at the Tableau user conference a few weeks ago. ServiceNow, Knowledge13, you're seeing real passion within the IT community to take on some of these new advanced technologies and change their business processes dramatically because they're driving business value for their users in a way that frankly I haven't seen in my entire career. Gary Burgett is here, he's the deployment architect at CQ Cloud. Peter Chang is the CTO and vice president at N3N. These guys are partners. We like to talk about tech athletes on theCUBE and gentlemen, we consider you tech athletes so welcome to theCUBE. Thank you. Thanks very much for coming on. Gary, let's start with you. Talk about CQ Cloud and what the company does and what you do there. Okay, well we are a Splunk partner so we have a pretty deep background consulting, helping customers deploy Splunk and so we work on the big data side. Very Splunk heavy and N3N is our technology partners. They have some very cool data visualization and video technology that we've integrated with Splunk for what we hope will be some pretty intuitive, some pretty impressive dashboards. So N3N, you were talking off camera Peter, you're based in Seoul. Yes. So talk a little bit more about your technology. You're saying it's data viz and video. What makes it unique? We have a technology called Pixel on Demand and basically if you go into command and control rooms or a lot of the data visualization that we want to do for dashboards and things like that, we need to integrate lots of videos. There are hundreds of videos on the production areas or monitoring rooms and to be able to see all of those videos on the screen, it is very difficult to process. So we kind of have a distributed computing system where we do Pixel on Demand, only show the pixels that is needed to display on the screen. That sounds cool. So Gary, take us through how you're engaging with customers, some of the problems that they're asking you to help solve as a consultancy. Okay, well, especially in this context, we're working with customers in operations, in manufacturers, not necessarily your traditional IT consumers, but they are working with big data, but they're not tech type. So they want to be able to visualize their data in the context of their systems. They want to be able to see their machines, their lines along with their machine data, along with their live video feeds. They need more context and in a more familiar interface. So those are the kind of the demands that we're trying to meet. So they're not tech types, what types are they? They're operations guys, they're kind of more blue collar. Again, they're working in big data. There's gigabytes, terabytes of data coming off of their systems, but they don't have the background or... So they're not programmers? They're not programmers. But their job is to get the product of the service out to the customer, make sure it's working, but they're not going to build the solution. Yeah, so it's not a traditional IT use case, but likewise, when something goes wrong in their operation, that's millions of dollars in losses. We're working with steel companies, semiconductor manufacturers. If there are malfunctions in their systems, they need to know about it, or that's a lot of money out the window. And how has visualization sort of changed their world? Maybe you could talk about that a little bit. Usually, on the operation floors, they have multiple systems. There are systems for, let's say, SCADA or HMI, ERP, MES, and operators have to look through different systems, even like CCTVs or the recordings to solve problems they have. So what we're trying to do is give you a canvas where you could bring in all of those information together, all of the different systems they interact, and then have a common inner space where they can much more intuitively get the data and have their operation done seamlessly. How do the customers refer to the data? Do they actually call it machine data? Or is machine data, Internet of Things? Are these terms that we've sort of overlaid and created sort of a parlance that spans multiple industries? How do they refer to the data? Do they say, I get these machines and it's spewing out all these data, and I need to visualize them, parochial terms? Yeah, that's part of what we're trying to deliver. They are very much living in the context of their operations. They're guys that know the machines. They're talking in terms of valves or sensors, furnaces. They're very much big data, but the Internet of Things isn't necessarily on their radar. No, but like you say, sensors, valves, whatever machine does yours, so talk about where Splunk fits into the whole thing. Splunk is definitely the machine data side of things. Splunk provides this awesome platform for collecting, aggregating all of your machine data, lets you easily analyze it and provide value from that data to the user. What we try to do in our interface is we use some of those convenient features from Splunk, like the knowledge objects and things like that to provide some of that context into the data. So for example, there are maybe hundreds of sensors for any specific process within a plant. We can let the users just search on Furnace One or just one keyword like that that expands the entire context that they want to be looking at. So how do you deploy? I mean essentially you're building, is it an on-premise data cloud, a data factory for your clients that you can visualize? Is that really important? Yeah, that's one way of putting it. The deployment process in terms of Splunk is very similar to deployment on any other IT use case. We build, we set up the Splunk deployment on their premises. We interface with their SCADA systems or whatever data they may need to collect. And we bring that all into just your standard Splunk. Server? Yeah, server farm if you will. So it's early days in this whole, GE calls it the industrial internet, internet of things, internet of everything, call it what you want, but it's still early days. So your customers, which are operations guys, probably skeptics, right? They don't just trust any new system. They've seen a lot of systems that don't work, so they're skeptical. And they've got to get an ROI in its early days. So talk about the dynamic there, the whole business case. How that occurs, I mean is this something that they know they need? They're dragging you into the situation saying thank God you're here, now we can solve these problems, or is it more a give and take? You guys have to demonstrate a little bit of the ROI. And I would think as well that this is a long-term strategic, of long-term strategic benefit to these organizations, which is sometimes a tougher sell. You got to work it up, senior management chain. I wonder if you could talk about the justification process a little bit. You want to say that one? Okay. So the example that we showed on the floor is a steel company. Usually steel companies, they have to monitor their processes, there's a lot of equipment, a lot of data being collected. And when there's problems, they need to do a lot of analysis on their data to figure out where the problems were to make the equipment more efficient and also to keep the quality of the product. All of those data analysis, and also they have to do a lot of reporting. So by giving them more intuitive user interface and also with the power of Splunk with all of the data analytics, the ROI comes very quickly. And also because of the UI that we're giving on top of Splunk to the operators, not only the analysts are looking at Splunk, all the operators, the managers, who are not really SPL experts can get onto the Perseus systems and be able to start using it. Okay, so Perseus is the solution that you guys provide, right? Yes. We handle the Splunk end of things, the machine data end. These guys are the visualization wizards. So who ultimately does the client interact with? Is it CQ Cloud? Is it with all three companies? Or how does that all work? It's usually together. We also usually have an SI partner in front of us who works with the manufacturers. Okay, and oftentimes they may bring you in and you're partnering with those guys. So what's next for you all? Where do you see this whole thing going? That's a good question. We're kind of following the rabbit hole. This actually has been something that we've talked about for a long time and we actually made just kind of a mash-up of it for a Splunk event, actually. But the response that we got at the event was kind of overwhelming. So we said, well, maybe we need to look more into this. So what we've done for the past nine months is make the integration with Splunk more tight so that users from our editing interface can easily get their results from Splunk and put it right into their canvas. So I think the roadmap is to just keep making that integration more tight and make the interface with their machine data more intuitive. And ride the wave, right? Yeah, ride the wave. That's awesome. I love the entrepreneurial spirit, the let's try it attitude, let's put it together and see what happens, build it, and they will come, and that's what happened. Yeah, and they're coming. I'll give you guys the last word. Anything that you want to leave our audience with, just some takeaways from the discussion today? Do you want to go? Favorite baseball team, any predictions? I don't know. We have an awesome booth here. Great. So what are you guys showing at the booth? We're showing Perseus. And we're showing a demo of the steel company, the operation that we're showing. And also another demo is a combination of cybersecurity and physical security together. Awesome. Great. All right, gentlemen, thanks very much for coming on theCUBE. It's a pleasure having you. Good luck with the future. Thank you very much. Keep it right there. We're right back with our next guest. This is theCUBE. We're live from Las Vegas. We're at the Splunk.conf 2013 conference. You can tweet us. Use the hashtag pound SplunkConf. We'll be right back.