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.
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 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.
COVID-19 Data Analysis 2 Read More »
COVID-19 Data Analysis: United States and Texas
A COVID-19 Data Analysis indicates US and Texas death rates are stable after an April 14, 2020 jump. Four 30,000-foot-level analyses of new cases and fatalities for the United States and Texas indicate stability but the levels are very high.
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Enhancing Business Intelligence and Analytics Tools and Methodologies
Enhancement of business intelligence and analytics tools and methodologies is achieved with the Integrated Enterprise Excellence (IEE) business management system.
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Plan-Do-Check-Act Model Implementation
A Plan-Do-Check-Act model (PDCA) or Plan-Do-Study-Act (PDSA) model can be applied to improve an overall business as well as individual projects.
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Additional Lean Six Sigma Black Belt Skills SQL
For lean Six Sigma black belt skills, adding SQL to a practitioner’s tool set is a great complement to other lean Six Sigma tools that can be taught in lean Six Sigma training.
Additional Lean Six Sigma Black Belt Skills SQL Read More »
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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Important Skills for Data Scientist need to Include Business Systems Thinking
A list of the important skills for data scientists needs to include a structured approach for incorporating business systems thinking in organizations. This need is addressed through the Integrated Enterprise Excellence (IEE) Business Management System.
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Minimum Sample Size, is it relevant?
“What is the minimum sample size?” may be the most common question a statistician or a lean six sigma practitioner will be asked. Everyone assumes that this is a question with a straightforward answer, but it truly a complicated question to answer. Surprisingly the answers to this question are more based on business considerations than
Minimum Sample Size, is it relevant? Read More »
Autocorrelation Data Analysis
The topic of autocorrelation data analysis came up during my Lean Six Sigma Master Black Belt course last week and in two coaching sessions the prior week. Since this is an uncommon topic, it surprised me. I am using the blog to record the answers provided in class and in coaching sessions. Autocorrelation Data Analysis:
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