It’s Hard to Do the Right Thing

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By Elliot King

This should come as no surprise to anybody, but data does not take care of itself.

In fact, by its very nature, data degrades; it is corrupted; it becomes stale and in many other ways loses its timeliness and value.

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Does Data Quality Even Exist?

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By Elliot King

Debates about quality run through nearly every aspect of social life. Critics and reviewers argue endlessly about the merits of this or that film, novel or so-called work of art. In those cases, quality is based on judgment–hopefully experienced and wise judgment.
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Who Should You Ask About Data Quality?

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By Elliot King

Here are some simple truths that too many companies ignore. Concerns about data quality cannot be confined to the IT department. No purely technical solution can insure high quality data. And, oh yes, no matter what you do technically, data will never be perfect.
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Data Quality Problems are Predictable

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By Elliot King

The idea that poor data quality is costly and hurts performance is about as old as science itself. The seminal science writer Stephen Jay Gould wrote a whole book about how faulty data leads to faulty conclusions, often to the great detriment of society.
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Non-technical Employees Need to Understand Data Quality

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By Elliot King

Too often, data quality is seen as a technical issue. You know the drill: profile, measure, remediate, integrate, augment, control and so on. In many ways, a company’s data is like an ecosystem, and the data quality team is analogous to the environmental specialists.
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