The challenge for the modern data architect and solution strategist is to implement the right combination of techniques and technologies to create a business intelligence (BI) organization. Seasoned architects are aware that new techniques and technologies must be adapted to meet the challenge of BI. They understand that BI is much bigger than traditional tools and techniques. They also know that to deliver a predictable, timely source of information content requires a conscious approach, a blending of traditional and nontraditional techniques and technology to deliver on the promise of business intelligence.

An obvious mistake architects and project sponsors make is associating BI and warehouse efforts to particular technologies. Too often, the notion of implementing an online analytical processing (OLAP) tool or building a star schema overshadows the rationale and purpose for these tools and techniques in the first place. Hopefully, it was a business requirement that drove project planners to recommend the use of OLAP, for example. It is important to understand that business requirements drive warehouse iterations and not the techniques used or technology implemented.

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