In the HBR, thoughts on predicting the success of Big Data.
Use This Framework to Predict the Success of Your Big Data Project
By Carsten Lund Pedersen, Thomas Ritter
Big data projects that revolve around exploiting data for business optimization and business development are top of mind for most executives. However, up to 85% of big data projects fail, often because executives cannot accurately assess project risks at the outset. We argue that the success of data projects is largely determined by four important components — data, autonomy, technology, and accountability — or, simply put, by the four D.A.T.A. questions. These questions originate from our four-year research project on big data commercialization. ... "
Tuesday, February 25, 2020
Framework to Predict Success of Big Data
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