The Truth About Data Quality

The data quality role is once again ranked as the most important full-time role staffed in the CDO’s office. But despite the importance CDOs place on data quality, little has been done to actually solve the issue.  Data quality has always been perceived by organizations as a difficult thing to achieve. In the past, the general opinion has…
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Data Quality – is “close enough” “good enough”?

I was discussing the data quality vendor landscape with a colleague the other day and he drew a very interesting parallel, an analogy about solutions and performance I hadn’t heard before. Frankly, on the surface it was almost comical—but the more I thought about it, the more I realized the significance. For some reason, too often technology buyers…
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6 Reasons Companies Ignore Data Quality Issues

Be it lean startups or multinational enterprises, true, proper maintenance of data quality gets swept under the rug. The initial efforts put in place early-on aren’t matched with best practices in the long run. Managers may be tempted to leverage existing CRM platforms tools to try and meet the data cleansing needs – not knowing that these solutions fall sorely short of any kind of proper record cleansing. While budgets are emptied in favor of customer acquisition and advertising spend, these half-hearted attempts at cleaning house leave valuable customer records collecting dust, hidden in plain sight.
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Data Quality and the Spill Chucker

One of my favorite software tools is the spell checker, due to its entertainment value. Colloquially known as the spill chucker due to the fact that if you mistype spell checker as spill chucker, the spell checker identifies that both “spill” and “chucker” are valid words, the spell checker has no concept of context. I was reminded of…
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