Getting Your Data House in Order Starts with Knowing What You Own

Jeffrey Phelan, Public Sector CTO at Rubrik, explains why Federal data management efforts are critical to reduce complexity and cost and increase value.

Historically, organizations in order to manage their data, they write all these independent jobs. So this application has to, you know, I gotta write 25 jobs to make sure I'm taking care of how  many times it's replicated, when it saved, where it saved, do I have a disaster recovery plan, do I have high availability, do I have all of that, very granular

Right, and computers will do whatever we ask them to do, and so we're using people historically to write all of those steps. And one of the things that we bring in as you talked about AI and machine learning is we have this declarative framework which allows us to use artificial intelligence and machine learning to automate that whole trade craft, to automate that whole workflow. So they don't have to necessarily think about that anymore. So a lot of organizations don't even understand that that's possible. So once we help them understand that they can get their shopping order on premise, and then, by the way, that same hierarchy and that same policy mechanism can be applied out into the cloud, that's when they start going like, Oh, wow. I didn't realize we could do that.

And that allows them to then begin to say, okay, we can now bring this other data over, we can make that data available because remember, they can't just move it without protecting it. Right, and they need to have an understanding if someone has to write - so we have a customer that has to write 1200 different incremental jobs to manage the data in their organization. Well, guess what we came in and we reduce that down to I don't know 45. Huge difference. So now they're just pushing buttons and a lot of this is automated.

So now that they have the confidence that the data is protected, it's consistent across all their applications and across the organization, and it's now secure and managed in the same fashion and the cloud. Now, they're like, okay, how do we start to run analytics on it, how do we begin to get better information out of that data. So the stewardship, the governance and the security is foundational.