Data quality is becoming a key concern for companies who rely on data on a daily basis. Without a purposeful data quality program, information becomes inconsistent and unreliable.
This first series of articles describe foundational steps that enable agile data warehouse development. My prior articles published thus far describe how to:
- develop a Business Conceptual model as a starting point
- build a “grass roots” data governance capability
- develop a high level data flow architecture
- ensure solid testing & tools
The next focus for setting yourself up for a best in class agile data warehouse environment is to develop a robust data quality solution.