Archive | March, 2010

What's the Root Cause of Bad Data?


Enterprise Data Governance Blog Series: No. 1

Starting this week, I’ll be publishing a series of blogs on enterprise data governance. As always, I welcome your comments and feedback. When it comes to data management, presentations and whitepapers all have a very consistent theme: Data is important, and we need to do something about it. The vendor landscape changed. Technology fashion changed. […]

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Willy Wonka and the Data Factory


Does Charlie Bucket have the answer to better quality data?

Over the weekend, my 5th grader and about 80 of his classmates performed a brilliant rendition of “Willy Wonka and the Chocolate Factory”. Most know this as a childhood fable of a humble child given the opportunity of a lifetime by passing a series of character tests. Those failing the tests are prototypical examples of […]

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High Speed Impact Ahead: Business Apps, MDM and Data Governance


The intersection point, reference data, may be the lowest hanging fruit in data management

I recently came across a use case that clearly demonstrates why business applications, MDM and data governance are on a collision course.  And, following my blog from last week, this is also where data and business process intersect. A major healthcare provider had just implemented a new billing system, then belatedly realized that the new […]

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Measuring Data Assets — What is the true cost of bad data?


You have to know the business value of all your data assets to get a good return on your investment.

Recently, a business executive told me that they expect 20% of their customer data to be “bad” at any point in time, a cost of doing business, according to him. Like many business theories, most managers have come to accept certain myths as truth; that you can’t have growth and profitability, that employees are generally […]

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Data Governance is the Missing Link between Data and Business Process


In my career, which has spanned both sides of buying and selling IT, one thing hasn’t changed: Data people and business process people don’t talk to each other. Business process people assume that data simply exists and care little about how it is “managed”, while data people focus more on the bits and bytes stored […]

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