How to implement data quality management frameworks with SQL, Power BI, and Excel?

Implementing data quality management frameworks using SQL, Power BI, and Excel can help organizations improve the accuracy, completeness, and consistency of their data. First, SQL can be used to ensure data integrity by enforcing data constraints and triggers. Additionally, Power BI can be used to create data visualization dashboards that highlight the quality of the data and identify potential issues. Finally, Excel can be used to perform data cleansing tasks, such as removing duplicate records and correcting errors. By combining these tools and approaches, organizations can establish effective data quality management frameworks that enable them to make better decisions based on clean, reliable data.

This mind map was published on 9 May 2023 and has been viewed 356 times.