Business intelligence initiatives have been undertaken by organizations across the globe for more than 25 years, yet according to industry experts between 60 and 65 percent of BI projects and programs fail to deliver on the requirements of their customers.
This impact of this failure reaches far beyond the project investment, from unrealized revenue to increased operating costs. While the exact reasons for failure are often debated, most agree that a lack of business involvement, long delivery cycles and poor data quality lead the list. After all this time, why do organizations continue to struggle with delivering successful BI? The answer lies in the fact that they do a poor job at defining value to the customer and how that value will be delivered given the resource constraints and political complexities in nearly all organizations.
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