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Ten Mistakes to Avoid When Defining an Enterprise BI and Analytics Strategy
TDWI Member Exclusive

November 3, 2016

By Nancy Williams and Steve Williams

Business intelligence (BI) has always been about leveraging business information, business analyses, and decision support to improve profitability. The benefits of BI—and now big data analytics—may be couched in different business terms, but there has to be a connection to increased profits if there is to be a return on a BI investment. The strategic challenge is to figure out how to leverage BI in the context of the core business processes that drive profitability. In parallel, there are a host of business, organizational, and technical challenges that stand in the path between a strategic vision for BI and big data analytics and the realization of the vision. In this Ten Mistakes to Avoid, Nancy and Steve Williams examine some of the key, commonly encountered BI strategy challenges they’ve seen in the course of their work with major companies across a wide range of industries.

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