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The role of business intelligence in BPM 37 could be converted into useful business information. This need was addressed using the multi-layered data architecture shown in Figure 2-1 on page 38. Why is a multi-layered architecture required? One reason is performance. If complex user queries are allowed to run against operational business transaction systems that have been designed and optimized for other purposes, they are likely to impact the performance of those systems. In addition, response times for user queries will also be affected because operational data sources are usually designed for transaction-oriented (operational) access rather than query (informational) access.
In other cases, the designer may offer the decision maker a list of analytic reports to choose from, any one of which might yield the best context information for further analysis and action. Taking corrective action is the critical step that closes the loop and turns BI into BPM. A good BPM system will at a minimum offer a list of possible corrective actions to be evaluated. A better system would recommend the most appropriate solution to correct the problem, and might even take the corrective action automatically.
In some situations, the decision making process can be automated. A key objective of analytic applications is to open analysis and decision making to more and more users. This enables companies to realize the promise of business intelligence and data warehousing and their inherent benefits. Extending analytic processing to more users The intent of BI and data warehousing is to enable problem analysis and resolution. The fruits of this concept, however, are often never fully realized. This is because many business users do not possess the skills and experience to use the BI system to analyze data and take action.