Customer Centricity and Birds of a Feather

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

By David Loshin

Why do we care to establish physical locations for individuals? One reason should be patently obvious: in every interaction between a staff member from your company and customer, both parties are always physically located somewhere, and many business performance indicators are pinned to a location dimension, such as “sales,” “customer complaints,” or “product distribution” by region.

Location is meaningful when it comes to analyzing customer behavior.… Read More

Get it Right the First Time

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By Elliot King

People generally think of data quality as a remedial exercise. During the ongoing course of business, for a variety of reasons, companies find themselves with incorrect data. The goal of a data quality program is to identify the incorrect data and fix it.

And while data errors inevitably do occur, an essential element of a data
quality program is putting technology and processes in place that will ensure as
much as possible that the data captured initially is correct.… Read More

Moving to Action

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By Elliot King

The first step in a data quality program is to assess your data. Whether you opt for data profiling or some other assessment mechanism, this part of the process consists of systematically identifying exactly where the problems can be found in your data sets.

While assessment is obviously the first step, it should be just as obvious that
it can’t be the last.… Read More

Assessment is the Critical First Step

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By Elliot King

Edward Deming taught us long ago about the virtuous cycle of continual quality improvement–plan for change; execute the change; study the results and then take action to improve the process. But Deming’s PDSA (plan, do, study, act) cycle is a generic approach. The cycle has to be modified and customized to address targeted areas for quality improvement.

The key steps in the virtuous cycle for data quality improvement are
assessment, measurement, integration, improvement and management.… Read More

The Role of Data Profiling in Data Quality Assessment

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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 a bad thing.… Read More