Databases Reference
In-Depth Information
less-trusted view. The MDM hub can already tell you who your customers and prospects
are, so use that knowledge to more efficiently sift through the rest of your big data to find
more about those same customers and prospects.
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when you combine the traditional “golden record” with new information found
among your big data, the superset of information can power even better business insights
and business decisions that were not possible before.
Note
Big data discussions have been gaining momentum and substance, but not much
distance has been covered when it comes to master data management with respect to
big data implications. The value proposition is to bring MDM into big data analytics
to further enrich the master entities. For example, the amount of comments that are
collected and collated by product-marketing teams is humongous. These comments can
be found across the Internet in discussion forums, personal blogs, and other places. All
this data, however, follows a typical big data pattern. It is large and builds up quickly; it is
semi-structured and comes in fast and furious, posing a challenge to extract, transform,
and load it to relational databases. In order for all this information to be useful,
free-form comments need to be tied in with product catalogs. There is potentially
important information in all this consumer feedback and the product forms the central
point of intersection of MDM and big data.
In summary, Figure
5-7
shows the various interactions that a multi-domain MDM
system should have with respect to big data use cases.
