Business Intelligence and Analytics

Business intelligence can be considered to be what’s and how’s of past occurrences, while business analytics assesses the why’s that involves causality investigation. The 9-step Integrated Enterprise Excellence (IEE) business management system provides a framework for integrating business intelligence with business analytics.

In step two of the 9-step IEE system, a value chain integrates statistical 30,000-foot-level predictive performance measures throughout an organization with their associated processes. An IEE value chain considers what’s and how’s (i.e., execution of processes) of past occurrences for this business intelligence creation.

Step three of the 9-step system, analyzes the business as a whole looking for the why’s of occurrences. When causality occurrences are uncovered, this information can lead to development of targeted improvement strategies (step 5) which leads to goal setting for functional 30,000-foot-level metrics (step 6) and then process improvement efforts (step 7), which benefit the business as a whole.

Enhanced Reporting Techniques for Scorecards are Illustrated in these Predictive Analytics Examples

These enhanced predictive analytics examples illustrate the power of providing futuristic statements in business management system scorecards and how to create this form of enhanced performance measurement reporting. 

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