In business analytics, there are different camps of thinkers. Some believe that data is key in driving processes. Others think that data is the servant of process. However, both camps agree that data analytics and measurement are critical for process improvement.

Business process management, business intelligence, business activity monitoring, and other analytics collect and aggregate data for evaluation and action. Typically, these methods collect statistics on key performance indicator successes or failures. Process points are identified for monitoring. These could be lower-level tasks, such as number of orders processed. Or the focus could be at a higher level, like transaction frequency between a sales Web application and the order and database servers. An even higher-level example could be logging a mainframe to understand the relationship between order volume and how quickly a warehouse can respond.

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