Looking to implement an effective MIS system? Learn how to use the Baldrige Excellence Framework to succeed in your organization. An effective Management Information System (MIS) can help organizations make informed decisions and improve overall performance. One way to succeed with an MIS system is to use the Baldrige Excellence Framework (BEF), a set of guidelines and …
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.
A traditional Quality Assurance Inspection Plan can be very expensive and is not typically as effective as an organization might think.
How to report performance metrics so that the most appropriate behavior occurs is provided in this video.
A COVID-19 data analysis to determine if the pandemic is changing to the better or worsening over time need a valid assessment approach and good data.
A coronavirus data analysis to determine if the pandemic is changing to the better or worsening over time needs to have a valid assessment approach and good data.
For a coronavirus data analysis, there are several reasons that a COVID-19 pandemic analysis of the number of deaths and new cases can deceive.
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.
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.
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.
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.