Is your data fit for use?


I had my ‘Aha’ moment while reading DMBoK (Data Management Body of Knowledge) which says that a data quality evaluation is an evaluation of ‘fitness for use’, i.e. the evaluation of to what extent data serves the purposes of the use. Data is of high quality as long as it meets the expectations and needs of data consumers [1]. As such, does the below set of records have a data quality problem?

Click to enlarge

How or What are data quality dimensions?

When you start reading materials on data quality, you will inevitably come across the term ‘data quality dimensions’.
Click to enlarge. Inspired by

How or What are data quality measures?

To assess data quality dimensions, different metrics are used. Most often used are ValidDQ(r) or Valid Data Quality rule and InvalidDQ(r) or Invalid Data Quality rule [3].


[1] DAMA-DMBOK: Data Management Body of Knowledge



Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Eka Ponkratova

Eka Ponkratova


I’m a data consultant, interacting closely with you to get data to work for you