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5 Types of Costly Data Waste and How to Avoid Them

CIO Business Intelligence

A common data habit that results in missed opportunity is assuming data has no further value once it’s been used for the particular purpose. Data is ingested, processed, transformed (perhaps for a specific report or to be stored in a traditional database), and then the raw or partially processed data is discarded.

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How ASEAN Retailers Can Become insight driven with a Hybrid Cloud data strategy

Cloudera

As customers shift online, the data trails they leave behind, through email opens, click-throughs, preferred member programs, can help retailers provide personalized insights on a level like never before. As data becomes a high-value asset, we’re seeing an increasing number and scale of cyberattacks too.