Justifying Data Quality Management

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By David Loshin

Last week I shared some thoughts about a current client and the mission to justify the development of a data quality program in an organization that over time has evolved into one with distributed oversight and consequently very loose enterprise-wide controls.
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Data Quality Management Mistakes to Avoid

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By Elliot King

Everyone wants high quality data and it seems that goal should not be so hard to achieve. The need seems obvious and there are plenty of good tools that can be put to work in the effort. Unfortunately, it is just not that easy to set up a successful, ongoing data quality program.
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Data Quality’s Three C’s Go Beyond Accuracy

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By Elliot King

In many cases, quality, like beauty, is in the eyes of the beholder. The exact characteristics that define quality can be hard to describe. For example, a news report recently described a new, synthetic method for producing diamonds.
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