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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The Need and the Mechanics of Address Standardization

By David Loshin In my previous post, I introduced the topic of address standards, and we conjectured that the existence of a standard for addresses not only simplifies the processes of delivery, it helps to ensure delivery accuracy. Ultimately, delivery accuracy saves money, since it reduces the amount of effort to find the location and it eliminates rework and extra…

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The Role of Data Profiling in Data Quality Assessment

By Elliot King After "sustainability," perhaps the biggest buzzword flying around many corners of the corporate world these days is assessment. It seems people can't breathe without somebody wanted to assess the quality of the air, the efficiency of their lungs, and, of course, the outcome of the breath. But just because something is a buzzword, doesn't mean it is…

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Integrating Analytical Results with Operational Activities

By David Loshin We have looked at using enhancement for operational purposes, as well as analytical purposes, but there are ways that we can merge the two into a hybrid: using enhanced data for analytics, whose results are incorporated into operational activities using the same types of enhancements. Actually I was a bit sneaky in my last few blog entries,…

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Data Enhancement for Analytical Purposes

By David Loshin Last time we looked at two example operational uses of data enhancement. But the value is not limited to insertion in specific operational workflows, because enhancement is often done to provide additional detail for reporting and analysis purposes. And in these cases, enhancement goes beyond data standardization and correction; instead, the enhancement process can add more information…

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Key Trends in Data Quality

By Elliot King "More people are doing it for more reasons." "If you learn how to do it, you will do it better." "And most companies have a long way to go." Those are the most striking trends in data quality, according to several studies conducted by market research companies over the past several months. Let's start this tour of…

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