Data warehouses are now generally accepted as part of mainstream business systems and business users now expect their Business Intelligence analyses to be available any time, any where on any device. Additionally, “Big Data” is getting information and analytics onto the business agenda like never before. All in all, we really are now living the dream of the digital economy in the Information Age. 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.
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