Bonus data quality dimensions

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Chrissy Bloom

Head of Enterprise Data Strategy & Governance

Recalling what a dimension is

Data Quality Dimension: a measurement of a specific attribute of a data's quality

table listing the six data quality dimensions with consistency, timeliness, and accuracy highlighted

Timeliness: measures the degree to which a dataset is available when expected

depends on service level agreements set up between technical and business resources

table with timeliness example listing SLAs and table load times

timeliness example of data quality rule and table load data and time

Consistency: measures the degree to which data is the same across all instances of the data.

two tables with rows of the same color except for one row which shows an inconsistency between tables

consistency examples of data quality rules and tables with data failing for consistency

Accuracy: measures the degree to which data is correct and represents the truth.

challenging to measure because it relies on the source of truth being available and accurate

two tables symbolizing a verified source and a downstream table with one incorrect value

accuracy example with a sample tax form, data quality rule, and a table of customer data that is being compared to the tax form

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