Information Management’s Webcast by DM Radio, “The Last Mile: Data Visualization in a Mashed-Up” continues below. The following is a transcript of that Webcast, which was hosted by Eric Kavanagh and included BI consultants William Laurent and Malcolm Chisholm, and InetSoft's Product Manager Byron Igoe.
Eric Kavanagh (EK): Yeah, let’s actually talk about that because if Jim were here, he’d ring his metadata bell since he’s always talking about that. Especially when you’re trying to work with many different data sets, and there’s the security angle here and there is also a data quality or data governance angle to this as well. But if you start talking about meta data, it really is important that you manage these definitions well because otherwise you start mixing and matching apples and oranges, and that cause all kinds of problems, right?
Malcolm Chisholm (MC): Right, I think so, and definitions are a little bit of an Achilles heel today in data management, and I think that to me, one of the important areas, and perhaps the other guests will be able to comment on this later in the show, is how the end user is going to interpret the mashup to make sure there are no issues in the way they are interpreting and using the mashup. And if I can also say, I think that there is probably going to be some kind of convergence with mashups with things like full motion video and image process and kind of extending from what Bill was saying earlier, where we want to mark up images or even full motion video that has some kind of relevance in there so you are talking about rich meta data but maybe I am getting ahead of myself here.
(EK): Yeah, that sounds like really good stuff, but goodness gracious, it also sounds pretty complex. William, let’s get you back in here a little bit on this data governance side of things. I know you’ve focused on financial services a fair amount. You know a fair amount about that stuff. Have you seen, is there sort of a sweet spot for mashups where it’s maybe it’s not in financial institutions as much just because of this data governance issue, or is there sort of widespread use of this technology now?
William Laurent (WL): I think no, there is still not in the financial arena. In sales, and Salesforce automation, you see much more of it. What I think is coming down the pike as far as in Finance, what I have seen is more geared towards regulatory compliance, not really anything from analyzing trades or various markets or anything like that. I see the regulatory compliance just because the data tends to be a little more static and a little bit more integratable. So the issues of data governance don’t appear as often as they would with something that is more highly volatile, transactionally oriented.
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