BI decision-support initiatives are expensive endeavors. Disparate business data must be extracted and merged from online transaction processing (OLTP) systems, from batch systems, and from externally syndicated data sources. BI decision-support initiatives also call for new technology to be considered , additional tasks to be performed, roles and responsibilities to be shifted, and analysis and decision-support applications to be delivered quickly while maintaining acceptable quality. A staggering 60 percent of BI projects end in abandonment or failure because of inadequate planning, missed tasks, missed deadlines, poor project management, undelivered business requirements, or poor quality deliverables. Project managers need to know the dos and don ' ts of BI implementations based on reliable hands-on experience.
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