 Okay, so tell me about the kind of the technical versus the business side of your practice. I mean you've got the technical challenges, but you've also got talking to business users and executives that might not understand the big data, what the approach is all about. Tell me about those two different worlds and how you approach them. So I think our approach has been to really lead with what we call a brainstorm engagement. It's a two-week engagement and really allows the IT and technical folks to really sit together with the business strategy folks. And we kind of brainstorm what types of analytics they would like to do and why they can't do that with their existing infrastructure. And then we kind of come up with a goal architecture using Hadoop and the ecosystem of products that are available today. And then we kind of move forward and pilot that. And then in the eight-week scenario, we're kind of standing up something that is useful. It's not a throwaway POC. So kind of the business sees immediate impact. They get visibility into some reports of some analytics that they couldn't do before or would take months to ask the IT organization to develop. And kind of we repeat that process. So this notion of a big data solution factory is really something that we're kind of instilling in our clients. So they work with us. We take them from prioritization to the technology to the analytics and solutions to sit on top. And then it's a continual process to really leverage the asset over time. As we all know and we've heard in all the case studies today in the sessions, kind of originally what these clusters originally stand up to do, very often the organizations find new things to do with it. So once that word gets out, like, wow, I have all this compute power. Wow, I can take all of this new data that we couldn't analyze before. It starts to really grow on the business side. And that's kind of where we really bring marriage to the IT organization and to the business organization.