Most businesses today either has or wants a data warehouse, and it is expected that the business will be able to benefit greatly from this data warehouse as soon as it is in operation. It will deliver spectacular insights into all aspects of the business, enabling vast savings and improvements in all areas of the business.
Does this promise sound familiar?
This is exactly what a good data warehouse can provide. But why is it that so many data warehouse projects run wildly over budget, fall equally short of delivering the expected results, or simply - fail?
There are many reasons why data warehouse projects fail, but my in my experience, three factors are key to the outcome of a data warehouse project. These factors are process insight, the ability to adequately model said processes in a data model, and business intelligence governance.
This session will give you insight into each of these factors, explore where the gap between technology, processes and people need to bridged, and give you a number of questions that your data warehouse project team MUST be able to answer.
22-25 April 2026 