Data Quality’s Three C’s Go Beyond Accuracy

Blog Administrator | Analyzing Data, Analyzing Data Quality, Data Quality | , , , , , , ,

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 in the regular way?
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Are You A Dupe Detective?

Blog Administrator | Data Management, Data Quality, Data Quality Components for SSIS, ETL, Fuzzy Matching | , , , , , , , ,

By Joseph Vertido

The process of finding approximate matching records in your data to get rid of
duplicates is precisely that – fuzzy. It raises as many questions as answers. Am
I using a good matching algorithm? Am I matching on the right fields? Is it a
true match or a false one?

The problem begins when inconsistent data enters from multiple sources.… Read More