Predictive process response reporting provides enhancements to traditional report-outs. Making comparisons to past responses on an individual point by point basis can lead to taking in appropriate actions that are not beneficial and may be detrimental.
A 30,000-foot-level report can provide a predictive statement. This form of futuristic reporting can be created for both attribute and continuous responses. Variables data can have either subgrouping or no-subgrouping.
If a 30,000-foot-level futuristic statement is undesirable, something needs to be done to improve the processes.
Integrated Enterprise Excellence Volume III chapters 12 and 13 show the benefits of the 30,000-foot-level measurement reporting approach over traditional metric reporting. IEE Vol III also shows how traditional control charting and process capability statements may not provide the best statement of a process-output performance (and what action or not-action should be taken).
IEE Volume III shows the benefits of 30,000-foot-level reporting over traditional methodologies. The Enterprise Performance Reporting System (EPRS) software provides a means for the easy creation of 30,000-foot-level metric reports.
This predictive analytics models example multiple samples in subgroup illustration will demonstrate the value of 30,000-foot-level reporting which is provided in the Integrated Enterprise Excellence (IEE) Business Management System.
This predictive analytics models example infrequent failures describe benefits of 30,000-foot-level reporting in an Integrated Enterprise Excellence (IEE) Business Management System.
Predictive Analytics Models Example Infrequent Failures: 30,000-foot-level Charting Read More »
There is a need for improving variable control charting. Why? Have you ever been frustrated by numerous out-of-control signals on a variable control chart without finding clear reasons for them? You’re not alone. While traditional variable control charting methods have been used for over a century, their mathematical limitations can often mislead organizations into wasting
Improving Variable Control Charting: A Smarter Way Forward (Video) Read More »
Have you seen many out-of-control signals from a variable control chart and cannot find reasons for the occurrences? You are not alone!
Even though traditional control charting techniques have existed for more than 100 years, some critical charting mathematical properties can result in applications that are wasteful and harmful. The Quality Magazine article in the link below highlights potential control-charting issues and provide an alternative using a free 30,000-foot-level metric-reporting app. This published article is a
Thirty references for 30,000-foot-level metric reporting and the Integrated Enterprise Excellence (IEE) business management system are provided below.
Even though traditional control charting techniques have existed for over 100 years, some critical mathematical properties of these charts can lead to organizational applications that are wasteful and harmful.
Control Charting Techniques Integration with Process Capability and Enhanced KPI Reports Read More »
A PDF article, A Business Metrics Dashboard that Resolves Commonplace Metric Reporting Problems, describes commonplace organizational metric reporting problems and an alternative business metrics dashboard format that resolves these issues.
A Business Metrics Dashboard that Resolves Commonplace Metric Reporting Problems Read More »
In today’s competitive business environment, mastering the art of process capability reporting is essential. This blog delves into the innovative approach of 30,000-foot-level predictive performance reporting within the Integrated Enterprise Excellence (IEE) business management system, offering a novel and powerful perspective on process capability analysis.
Enhanced Process Capability Reporting using a Free App Read More »
Organizations need quality metrics; however, the question is: what data quality metrics should an organization monitor, and how should these metrics be tracked and reported? This article provides a methodology to answer these questions, “smartly.”
