Tweet
Ensuring data accuracy and consistency in Power BI dashboards begins with reliable data sources and proper data modeling. Use Power Query to clean and transform data, removing duplicates and inconsistencies before loading it into the data model. Establish clear relationships between tables, and use calculated columns and measures consistently. Implement row-level security (RLS) to maintain data integrity based on user roles. Regularly validate the data against source systems to catch discrepancies early. Additionally, version control and documentation of data sources, transformations, and logic used in the dashboard help maintain accuracy and consistency over time.