What Is Data Quality And Why Is It Important?
Search Data Management, Friday, August 15th, 2025
Data quality measures a data set's condition based on factors such as accuracy, completeness, consistency, timeliness, uniqueness and validity.
Measuring data quality can help organizations identify errors and inconsistencies in their data and assess whether the data fits its intended purpose.
Organizations have grown increasingly concerned about data quality as they've come to recognize the important role that data plays in business operations and advanced analytics, which drive business decisions. Data quality management is a core component of an organization's overall data governance strategy.
Data governance ensures that the data is properly stored, managed, protected and used consistently throughout an organization.