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New ebook: Understanding Big Data(1)
Robert Routzahn previews a new ebook that will get you up to speed on big data. Look at the problem – and solution – from both the business and technology perspectives, and learn the lingo to better understand all the industry news.
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37 Definitions of “Employee ID”
What happens to data quality when an organization has 37 different definitions of a single term? Paula Sigmon explains how people on both the IT and business sides are affected.
Defining Terms: Agree, or Doom your Project
Paula Sigmon looks beyond a recent Harvard Business Review piece and discusses the importance of ensuring a team collaborates on the terminology at the core of their business.
Establishing a Valid Business “Need to Know” for Sensitive Data
Who can access your most sensitive data? Do you restrict access to those with a valid “need to know,” or do developers and testers practice on sensitive production data? Kim Madia shares an example of a well-written data stewardship policy that establishes this “need to know.”