Get an overview of data quality rules in Microsoft Purview Unified Catalog, and how you can use them to increase the quality and trustworthiness of your data.

Apr 30, 2025 · Learn more about what data quality rules are, why they're important and how to use them to improve data quality at your organization.

In this guide, I will explain both Data Quality (DQ) and the six data quality dimensions. Additionally, you will learn advanced data quality concepts, data quality measurement, and examples of different data …

Data quality can be influenced by various factors, such as data collection methods, data entry processes, data storage, and data integration. Maintaining high data quality is crucial for …

Jul 5, 2025 · Read this guide to understand what is a data quality rule, how to set parameters, and how it evaluates the data quality measures to detect data quality issues.

Oct 14, 2025 · A data quality framework is the structured set of data quality processes, standards, and controls an organisation uses for managing data quality across the entire data quality lifecycle —from …

Data quality rules (also known as data validation rules) are, like automation rules, special forms of business rules. They clearly define the business requirements for specific data. Ideally, data …

Oct 20, 2024 · A data quality rule can be defined as any sort of pre-defined standard or criterion to judge the quality of any dataset. It tells us whether the data is up to the norms expected or not, if it is …

Data quality rules refer to the established criteria that define the expectations regarding the fitness of data for business use, ensuring that data meets specific standards for accuracy and reliability in …

The Data Quality Rule Wiki aims at collecting and providing internationally agreed and used Data Quality Rules to accelerate the process of Data Quality Management