The Central BI and Analytics Team

This is the continuation of the transcript of a Webinar hosted by InetSoft on the topic of "10 Biggest Big Data Trends."

The central BI and analytics team has a lot of visibility into the different data sets people are using and how they are building their worksheets or dashboards because they are able to see what's popular, what's not, what maybe is coming from sanctioned sources versus we call more unsanctioned sources. They can keep a good eye on things.

So it's enabling people to continue to explore their data in an unfettered manner, but also helps people to be able to get really good visibility into what data is being used to make decisions and standardizing data definitions and those things.

And yeah that was the use case I wanted to highlight. We've have some other really fantastic partners playing in the space because it's one that's very hot right now.

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Balance of Self-Service Analytics

Holly: Well, it does speak to helping with self-service and both the agility of the pipeline that the metadata and helping people learn what's available and how to get at it. It speaks to increasing the agility of the pipeline. It really helps with that, and it's the same with the balance between the governance and self-service.

The key and the question for me was the balance, the balance that you want to have more people with access to the data to do more analysis. Then you want to share that, and it becomes a bit counterintuitive. In a lot of governance perspectives, people are very concerned about providing unfettered access to data or wider access to data because people think that they'll get more bad answers on wrong data.

But in fact, counter intuitively, by opening up access to the data and providing self-service and sharing of that data with more and more people, it becomes a better governance control because by putting more transparency into that data and sharing it, you're more likely to catch problems and errors.

So it's a little bit counterintuitive when you're considering opening up data to more and more doing self-service that you're actually -- again enabling and actually improving governance by opening data to a wider audience.

Abhishek: Great, all right. That wraps up our trends, and we've got some really, really good questions I am excited to go through. So folks, please keep adding those while we have seven minutes to answer some of these. So the first one, do you think this variety and volume of data keeps traditional BI away, especially waterfall ways of doing BI projects with OBIEE, MicroStrategy, Business Objects, etc. Will these tools continue to be useful anymore?

I will caveat this with you are asking this question on a InetSoft webinar so this probably is slightly biased point of view, but at the same time our point of view aligns really well to what you see from an analyst. Actually last year they changed the way of organize BI vendors.

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They said this sort of traditional waterfall type of BI project, that facilitates more of the report factory, and the top-down waterfall model are essentially things of the past, and they won't see new investments in these areas. So most of those vendors that the question are asked about fell out of their leaders quadrant.

So it's more than just a variety and the volume of types of data that I think are impacting the waterfall model. At the end of the day, there is no way for a single central team be it in IT or in the business, to be able to answer every question that comes up from end users across an organization especially large organizations.

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