Looking at Data Quality Through the Lens of a Process

Data quality is a characteristic of the process that produces value from the data, rather than just the data product itself. Remember that 80% of the business value comes from about 20% of your data. And ensuring that data are “fit for purpose” requires connecting data flows to the specific business value they are implemented to support. Data quality is not a technology problem, but a process problem. Using D2V thinking, you can design quality into critical data flows and systematically reduce waste to yield better data quality outcomes.

Read more in “The Download: Guarding Against Rebellion.”

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“The Download: Guarding Against Rebellion”
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