If you are responsible for or involved with the Business Intelligence in your organization, a good definition of it is indispensable. Such a definition cannot purely exist of the names of analysis methods, database systems, and vendors. A good definition of Business Intelligence is a simple paraphrase of Howard Gardner’s definition of human intelligence:
“Business intelligence is the application of cognitive skills and knowledge within an organization to solve problems, to learn, and to achieve goals that are appreciated by the organization and its business and cultural environments.”
If the application of and approach to Business intelligence in your company does not feel that way, feel free to read a little further.
Obviously, most companies rank Business Intelligence (BI) as strategically important. It helps them identify areas for performance improvement, cost savings, and process efficiency, enabling them to plan better for the future. Nonetheless, for years already Gartner indicates that over 70% of all BI projects fail to meet the enterprises' objectives. And that, while on the average successful BI projects yield a return of € 10,66 for every euro spent. Why then does failure seem to be the norm?
Front-rank leaders of Gartner put forward two root causes:
Ř Poor communication between IT and the business
Ř The fact that IT leaders tend to concentrate mainly on the technological aspects of BI rather than on the severe lack of analytical skills.
To eliminate these two causes from our projects, we developed and used an approach for the development of database systems, the Information Management Frame, that made our BI-projects always successful.