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Online articles of interest in the last week include a focus on IT's ETL burden, artificial intuition, worry-free endpoint data migration, and benefits of data visualization.
A veteran industry consultant and mentor suggests building your predictive analytics team first, then bringing in a data scientist.
Although advances in technology have dramatically improved our ability to analyze and mine vast amounts of data, we must remember that the quality of our predictions is directly dependent on the quality of our data.
A data disaster almost destroyed Toy Story 2, plus how to model data with and without bias, and getting the most from data mashups.
How to make data sexy, plus securing employee data and keeping compliant with software-as-a-wervice.
Data doesn't always have to be perfect, plus how to decide when your enterprise is ready for a data scientist and choosing the right self-service data-preparation vendor.
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