4.1.7 Business Term Data Quality

Data Quality Rules establish the criteria and constraints necessary to ensure the accuracy, consistency, completeness, and reliability of data associated with a Business Term. These rules define validation checks, threshold limits, and compliance conditions that data must meet to maintain its integrity across systems and processes. For example, for the term End of Period Balance, data quality rules might include ensuring the value is non-negative, matches the sum of debits and credits for a reporting period, and corresponds correctly to the associated account type. These rules are applied at both the table and attribute levels in the data model to detect anomalies, prevent errors, and ensure compliance with regulatory or business standards. By implementing strong Data Quality Rules, organizations can uphold data integrity, foster trust in their data assets, and enable accurate decision-making.