Data Quality Coverage and Readiness Part 2

How to Quantify Your Data Quality Coverage

Image by Juliana Castro , CC BY-SA 4.0, via Wikimedia Commons

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In the first part of this series, we took a look at the different factors that impact your data quality and symptoms of “bad data”. We also learned that the actual percentages of all data an organization collects that is considered business-critical are actually a subset of the total amount of data the organization collects. Because this data is essential for effective decision-making, implementing a system of quality checks, which are applied throughout your data pipelines, should be a priority for any data-driven organization in order to ensure and maintain data quality.

Now that we understand the implications of bad data and how to evaluate quality, how do we quantify what your data quality coverage is? Luckily there is a framework that we can leverage that will help us quickly calculate what your overall data quality coverage is as a percentage of your total collected data. For many organizations, this is an eye-opening exercise.

The equation to determine this would be: