Data Quality Management Flashcards

Which data quality dimension measures whether data values conform to the correct format, type, and range?

Answer: Validity

Validity measures whether data values conform to defined formats, data types, and allowable ranges or domain values.

What is data profiling in the context of data quality?

Answer: Analyzing data to understand its structure, content, and quality characteristics

Data profiling examines source data to understand its structure, distributions, patterns, completeness, and anomalies as a foundation for data quality improvement.

Which data quality dimension refers to data being available when needed for decision-making?

Answer: Timeliness

Timeliness measures whether data is available and up-to-date when needed by business processes and decision-makers.

What is a data quality scorecard used for?

Answer: Tracking and communicating the status of data quality metrics against defined targets over time

A data quality scorecard tracks key quality metrics against targets and communicates trends over time to stakeholders and governance teams.

Which approach to fixing data quality issues addresses the root cause in source systems rather than cleansing data downstream?

Answer: Upstream Fix / Prevention at Source

Fixing quality issues at the source prevents them from propagating downstream, which is more effective and efficient than repeatedly cleansing after the fact.

What is the 'fitness for purpose' concept in data quality?

Answer: Data quality is evaluated in terms of whether data adequately meets the specific needs of its intended use

Fitness for purpose means data quality is contextual—data is considered 'good enough' if it meets the specific requirements of its intended business use case.