SQL Server Best Practices for Data Quality
Data is one of the most valuable assets for organizations, but if it’s inaccurate or outdated, it can cause costly problems down the road. Unfortunately, cleansing and validating data is difficult with the native SQL Server toolset. This whitepaper walks you through the SQL Server data quality process using five steps to uncover the correct solution, and how the solution addresses critical business challenges.
Importing Data Poor Data Quality Correct Duplicate Data Enrich Customer Records Resolve Outdated Data Quality
Source: sdtimes.com