Yet time and again, we hear about the failure of data warehouses!
In my latest discussion paper, I explore the issues of data quality in data warehouse, business intelligence and analytic environments, and propose an approach based on "Data Quality by Design".
TOP REASONS TO READ THIS PAPER:
- Your data warehouse solution is failing to meet expectations.
- Your data migration project is struggling to achieve its outcomes.
- Business Intelligence and Analytics are not used by the business due to data errors.
- You struggle to integrate and distribute data effectively.
Access "Data Quality by Design" via SlideShare.com (requires login)
Or access here via MediaFire.com (no login required)