Open Thoughts on Analytics
DEC 13, 2011 9:01am ET

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Data Science or BI? – Part 1

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OpenBI held our all-hands quarterly meeting a few weeks back. Included in the full day agenda were individual presentations on customer projects and up-and-coming technologies of interest to our BI team. For my talk, I chose to illustrate how a data scientist might conduct her work.

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Comments (4)
Steve I totally agree with your point of departure for the future discussion on Data Science and Busines Intelligence. As scientific analytical software and the tools that incorporate them become more prevalent within the enterprise it is going to be very difficult to distiguish between the two ideologies. I believe that the drive over the next year to discover insight into larger and larger data sets is going to lead to a greater requirement for more scientific insight in the business inteligence arena - if that leads to a combination of the two roles I doubt but it will certainly bring them closer together.
Posted by Peter E | Tuesday, December 13 2011 at 12:06PM ET
Steve, Enjoyed your article. It helped me to clarify my definition of a data scientist as one being skilled in statistics as well as data modeling. I think a data scientist understands the data on a level where they can influence the database design so that optimal query can be performed. To tell the story a good data visualization tool should be used (either by the data scientist or the Business Intelligence analyst) and I lean towards Qlikview for visualizations. I also agree that a star schema works best. OLAP cubes make for faster queries and better slicing and dicing. Thanks again for the data scientist clarification and contrast with BI.
Posted by Jeff R | Tuesday, December 13 2011 at 4:07PM ET
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