Archive | July, 2010

How to Measure Data Accuracy?


Explaining the Rise in Pickpocketing

If you believe that better data quality has huge business value, and you believe the old axiom that you cannot improve something if you cannot measure it, then it follows that measuring data quality is very, very important. And it’s not a one-time exercise. Data quality should be measured regularly to establish a baseline and […]

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Avoiding the Data Governance Gap


Since 1999, David Loshin, president of Knowledge Integrity, has developed technical and management methodologies for instituting data quality, master data management, data standards, and data governance in many different industries, including financial services, banking, insurance, health care, manufacturing, pharmaceuticals, and government agencies. Please note that the views of our guest bloggers do not necessarily reflect […]

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Does information management agility require new tools?


In my first blog post, I questioned whether performance and capacity was really the most important thing for data warehousing, and I suggested that agility and flexibility ought to be considered a more important topic. Some recent research from Boris Evelson and a blog post from Jim Kobielus, analysts at Forrester Research, underscore the benefits […]

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How Mature is Data Governance?


Last Thursday I was interviewed by Philip Russom, a veteran data management industry analyst, during a great webinar on MDM and data governance hosted by TDWI. In a report published in 2008, Philip wrote that “software automation specifically designed for data governance is somewhat light.” He repeated the other day that there remains a dearth […]

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Is Data Governance 20% Technology?


Last year, I met with the data governance lead of a London-based consulting company. We had a rich and wide-ranging discussion. With considerable violence, we agreed on the need for data governance, and the best way to do it. But when I brought up Kalido software, he clammed up and said, “Data governance is about […]

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