How to Measure Data Quality

How to Measure Data Quality

13 Metrics You Should Be Tracking (But Don’t). In this post, we’re going to explore a practical framework for assessing and comparing data quality. You can apply this to data produced internally, as well as data purchased from 3rd-party vendors.

You need reliable information to make decisions about risk and business outcomes. Often this information is so valuable that you may seek to purchase it directly through 3rd-party data providers to augment your internal data. Yet, how often do you consider the impact of data quality on your decisions? Poor information can have detrimental effects on business decisions, and consequently, your business performance, innovation, and competitiveness. In fact, according to Gartner, 40% of all business initiatives fail to achieve their targeted benefits as a result of poor data quality. Organizations that treat information as a corporate asset should engage in the same quality assessment discipline as with their traditional assets. This means monitoring and improving the quality and value of their information continuously. In this post, we’re going to explore a practical framework for assessing and comparing data quality. You can apply this to data produced internally, as well as data purchased from 3rd-party vendors.

data-science data-driven data-management data data-quality

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