Tag: analysis

Accurate predictions, optimal decisions, and an explanation of root cause and its effects on a process are just a few of the many types of solutions managers are expected to deliver when complex problems appear. Yet, discriminant analysis, one of the most powerful tools used to solve problems in a process, is often neglected in […]

Ordered category data is discrete data representing appraiser or client perception against a rating scale such as a survey or questionnaire. Black Belts learning to apply the Six Sigma methodology to ordered category data are traditionally taught analytical methods that include normal and Poisson distributions. This is probably due to Six Sigma’s beginnings in manufacturing. […]

This directory highlights the features, as well as format, language and price specifics, of several statistical analysis software programs.

Measurement and analysis (MA) is a Level 2 support process area within the Capability Maturity Model Integration (CMMI) process. The purpose of MA is to provide management information necessary to implement monitoring and control of various required processes. Source: Ahern, Clouse and Turner, CMMI Distilled: A Practical Introduction to Integrated Process Improvement, second edition, Addison […]

Because of the rapid growth and increased competition in information technology (IT), business process outsourcing (BPO) and other service sector industries in India, quality and cost of operations have become the major distinguishing factors among such companies. Survival, growth and profits depend on how an organization controls its costs and satisfies its clients or customers. […]

A variety of analyses can be done during the Analyze phase of a Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) software project with data from Fagan-style inspections. These analyses suggest possible implications when considering Improve activities. Analyses used here are based on a real situation and the conclusions drawn are valid in that situation, […]

The proliferation of do-it-yourself statistical software can give some Six Sigma practitioners, who may not be strong in statistics, a false sense of confidence. For the most accurate results, follow these eight tips before you begin collecting and analyzing data.