It’s Hard to Do the Right Thing

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

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. The ongoing onslaught on the quality of corporate data may be nasty to think about, but it is a fact of life.

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Does Data Quality Even Exist?

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

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.

Sometimes the idea of quality can be more concrete and even measured. In the 1990s, thread count became the quality standard for high quality bed sheets.… Read More

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.

The real question is not whether data matches some pre-established and perhaps
arbitrary mark.… Read More

Data Quality Problems are Predictable

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

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. And one of lasting aphorism in computing has been “garbage in, garbage out.”

Moreover, the problems and risks of poor data quality have been studied,
described and quantified for decades.… Read More

Non-technical Employees Need to Understand Data Quality

Blog Administrator | Address Quality, Analyzing Data Quality, Data Management, Data Quality | , , , ,

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. They conceptualize an ideal state for data, measure the actual state, and then fix the problems they find.
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