Get it Right the First Time

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

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

Assessment is the Critical First Step

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

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