
Data Smart: Using Data Science to Transform Information into Insight

However, by using commodity models, at least there’s an option for the smaller categories to have some type of model available as well. Analytic tools today have evolved to more easily enable such models. They’ve added in capabilities to automatically attempt multiple algorithms, with multiple combinations of metrics, using multiple automated valid
... See moreBill Franks • Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)
Each will take a considerable amount of data collection, IT development, systems and data integration, and analytical model development, and firms could use some help with new and more productive tools for such activity.
Thomas H. Davenport • Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
Once an insight has been extracted from data, it needs to be classified—as irrelevant to the business, interesting but not useful, or the basis for an action.
Thomas H. Davenport • Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
