What's the difference between data integrity and data quality?

Data quality, in simple words, means, the quality of the data. The detitanation of data quality is if it can be accurate and reliable enough. On the other hand, data integrity is more than just quality. It means of the data is adding value to the owner and actually providing the accuracy as well as consistency over time.

Data Quality vs. Data Integrity

Data quality and data integrity may seem synonymous, but they refer to different aspects of data management.

Data quality is a standard to measure how accurate and reliable data is. It takes into account factors such as completeness, timeliness, and consistency.

Data integrity, on the other hand, refers to data protection from corruption or alteration. To ensure data quality and integrity, relevant authorities must regularly check data for accuracy and completeness. Consequently, they should put in place effective strategies to prevent unauthorized changes.