More and more companies are investing in analytics platforms to boost productivity and achieve – and maintain – a competitive advantage. After implementation, it is important to understand how to leverage the full capabilities of analytics, and avoid some data management “bad habits” that could be hindering the efficiency of your organization.

I’ve observed a few data management best practices to adopt, and blunders to avoid, when managing information and data assets. So, to help organizations weigh the right criteria when implementing their analytics strategies, I’ve developed five dos and don’ts for managing information and data assets when working closely with customers:

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