Becoming a Data-Driven Organization: A 5-Part Framework for Sustainable Data Quality

In a previous post, we’ve established that data needs to be clean in order for organizations to make sound decisions, gain a competitive advantage, and improve the bottom line.

But, before jumping to fix your data issues, it’s important to establish a framework that ensures the data will be usable in the long run—not only immediately after a big cleanse, which is often time consuming and expensive. This 5-part framework provides a comprehensive approach for addressing existing data quality issues, and prevent issues from arising in the future.

5-Part Framework for Sustainable Data Quality

Let’s explore each step in detail.

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QC, QA, and Cost of Quality

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Quality Is What the Customer Says It Is

All customers, regardless of industry or market, internal or external to an organization, want quality. Quality is crucial to maintaining a competitive edge. But what is quality? The best definition of quality I have seen is “fitness for purpose.” This works everywhere from a business setting to a family meal.

No matter what definition you use, the quality of a product or service is ultimately defined by the customer.

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