This document outlines a continuous data quality process for data warehousing and ETL. It involves profiling and cleansing data from operational systems and staging areas. It also includes auditing results, applying new rules or manual fixes if needed, and using data quality tools to help data stewards maintain and improve input data quality over time.

1. Application ETL ETL ETL
Application Staging Data Data
Database Area Warehouse Marts
Data Cleansing
Data Cleansing
Operational Systems,
Data Profiling
Data Profiling
Data Warehousing and ETL
Data Quality Tools
(Profiling and Cleansing)
Manual Data Fix
Change
Manual Data
New Rules
New Rules
Request for (Rarely)
Results
Results
application
Fixes
Audit
Audit
Business Process,
to improve Metadata & Results
Data Quality
on input
Data Management & Warehousing
Continuous Data Quality Process
Data Stewards
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