Fast-Tracking Data Warehousing & BI Projects via Intelligent Data Modeling
Why do we read about so many Business Intelligence (BI) projects missing the mark with their business users? Did the implementers misinterpret the requirements? Were the users unable to verbalize their needs accurately or clearly? Was the wrong technology deployed?
Probably none of these caused the mismatch. Often it is simply a matter of not properly documenting the needed data and related business rules. In other words, the root cause is a poorly constructed or the complete lack of a data model for the application and therefore, no way to confirm the requirements as stated by the business users.
At the core of any BI should be the ability to align business needs with the data infrastructure supporting them. This is almost impossible to do without a data model. Yet many BI implementers do not understand the need for or the benefits from these design components. This paper will examine the major benefits that data models have on BI environments.