Data Quality Dimensions in Motion

For the fifth year Dan Myers of DQMatters is making an Annual Dimensions of Data Quality Survey.

There are some very interesting findings when looking at the trend in the previous years surveys as seen in the figure below.

Data Quality Dimensions 2015 to 2018

Among the data quality dimensions included in this survey we see that the use of consistency, validity and not at least completeness has increased significantly over these years.

The possible use of consistency and completeness was examined here on the blog in the post Multi-Domain MDM and Data Quality Dimensions. Another dimension included in this post was uniqueness, which is a frequently addressed data quality dimension for customer master data in the quest of fighting duplicates in databases around.

You can now be part of the 2019 Annual Dimensions of Data Quality Survey here.

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