Data Quality Assessment
A Data Quality Assessment is a distinct phase within the data quality life-cycle that is used to verify the source, quantity and impact of any data items that breach pre-defined data quality rules.
The Data Quality Assessment is a task typically executed by dedicated Data Quality Software. The software is used to:
- Discover the data quality rules
- Define them against the source data
- Execute them across the data landscape
- Provide interrogative reports on the results.
Closely linked with the Data Quality Assessment is the practice of defining and assessing Data Quality Dimensions. These are distinct rule groups or categories that can be assessed to provide comparative analysis of data quality levels across different tables, systems, business functions or even different organisations.
The Data Quality Assessment can be executed as a one-off process or repeatedly as part of an ongoing data quality assurance initiative.
How do Data Quality Assessments help?
The quality of your data can quickly decay over time, even with stringent data capture methods cleaning the data as it enters your database. People moving house, changing phone numbers and passing away all mean the data you hold can quickly become out of date.
A Data Quality Assessment helps to identify those records that have become inaccurate, the potential impact that inaccuracy may have caused and the data’s source. Through this assessment, it can be rectified and other potential issues identified.
Keeping accurate and up to date personal data is a key aspect of the General Data Protection Regulations (GDPR). A GDPR-specific Data Readiness Assessment is an important step in preparing your data for upcoming regulations.