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From Data Modeler to Data Scientist

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The Harvard Business Review declared “data scientist” the sexiest job of the 21st century. After getting over my disappointment that “data modeler” was not chosen, I started thinking, What’s the difference between a data modeler and data scientist, anyway? I asked this question of the Data Design Challenges group and the following is a brief summary of the responses received.

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Comments (6)
The data scientist is defined elsewhere as being a team, a combination of data analyst, business analyst, and data analytics expert, but consider adding to this the data architect and the enterprise architect. Data Science has to include more than deriving business statistics. It is a science of collecting, organizing, and reporting data, and even that is incomplete without the science of organizing the management processes and aligning them with the business needs.
Posted by Thomas B | Monday, August 19 2013 at 8:18AM ET
I tend to describe my self as an Enterprise Information Architect as I am interested in all information both electronic and physical. Its more than data (an accumulation of facts); data science would imply measurement both quantitative and qualitative, hence I suspect the reference to statistics, it would also imply data quality, which a data modeller would have little interest in other than to model some sort of data cleansing process. Both data modeller and data scientist would require business awareness, but more so the data scientist. As for visualisation both have a need for this, indeed all of us do. A picture speaks a thousand words.
Posted by Robert J | Monday, August 19 2013 at 9:34AM ET
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