Data Quality Management Mistakes to Avoid

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. The first mistake companies…

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Data Quality’s Three C’s Go Beyond Accuracy

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. Would those diamonds be of the same quality? And would they be as desirable, as diamonds mined and refined…

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Garbage In …

By Elliot King We all know that dirty data is not really dirty; it is just incorrect. Data cleansing consists of correcting mistakes in the data. Mistakes make their way into contact data in several different ways. It may just be wrong or incomplete; it may not be updated; and it may be duplicated if small variations are entered into…

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