Bonus data quality dimensions

Introduction to Data Quality

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

  • Use data quality dimensions to quantify how fit for purpose data is.

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

Introduction to Data Quality

Timeliness as a dimension

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

Introduction to Data Quality

Timeliness example

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

Introduction to Data Quality

Consistency as a dimension

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

Introduction to Data Quality

Consistency examples

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

Introduction to Data Quality

Accuracy as a dimension

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

Introduction to Data Quality

Accuracy example

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

Introduction to Data Quality

Let's practice!

Introduction to Data Quality

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