Data Analysis

Data analysis is used in the 9-step Integrated Enterprise Excellence (IEE) business management system when evaluating an organization as a whole to determine what areas of the business should be further investigated for improvement opportunities (step 4). Data analysis is also used in step 7 of the IEE system when investigating what might be done differently to improvement a particular process’ output response.

Data analysis that attempts to uncovering causal relations to a response can involve hypothesis tests that are to assess what is impacting an IEE 30,000-foot-level process-output predictive response. Statistical tools such as linear regression and analysis of variance can be involved in this assessment of historical data. Design of Experiments (DOE) can also be used to statistically determine through experimentation what factors and levels of factors might improve a desired response.

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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