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.

COVID-19 Analyses

There has been many COVID-19 Analyses. I too have conducted some COVID-19 analyses from differing perspectives and at differing points in time.  The following is a list of my posts that contain these analyses.

COVID-19 Data Analysis 2

This COVID-19 data analysis 2 will focus on the percentage of pneumonia, influenza or COVID-19 deaths to total deaths. This analysis addresses the issues of analyses of total deaths and number of new cases, which can be deceiving for various data-source reasons.

Different views of Quality: Internal vs. Consumer

What is Quality? Sometimes this question is respect to a Lean Six Sigma topic to improve quality and in other cases it might be about how to define quality with respect to metrics and dashboards. One perspective is whether this “What is Quality? question is from an internal or external view of quality.

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