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Total Quality Control analysis is often referred to in production activities. However, many business processes can also be analyzed and improved by applying concepts from quality control, such as control charts. In MM4XL software you find all the tools you need to analyze and improve a business process according to the theory of total quality control.
MM4XL software tools are used by marketers and business analysts on five continents to make better business decisions. All tools are available in one single Excel add-in software.


MM4XL Software
Total Quality Control Analysis Tools for Business Process Management Improvement
Total Quality Control analysis is often referred to in production activities. However, many business processes can also be analyzed and improved by applying concepts from quality control, such as control charts. In MM4XL software you find all the tools you need to analyze and improve a business process according to the theory of total quality control.
MM4XL software tools are used by marketers and business analysts on five continents to make better business decisions. All tools are available in one single Excel add-in software.

Total Quality Control Analysis Tools
Click on the following links to learn more about the MM4XL Total Quality Control tools or select a different group of tools from the links MM4XL Tools on the left side of the screen.
![]() | Quality Control Charts Analysis Tools All the total quality control charts and tools you need for improving process monitoring and management. Quality Manager software is used for analyzing sales, marketing and production processes. Read more... |
![]() | Sample Manager: How many Interviews in a Survey? Sample size calculator used for professional market research design. Easy and accurate random sample size design calculation with the Sample Manager software tool. A must-have tool for those in marketing and market research. Read more... |
![]() | Proportion Analyst for Significance Test of Market Research Data Test whether survey answers differ significantly in statistical terms. This is a recurrent question when interpreting, for instance, results from marketing survey studies, promotional campaigns, or sales results. When investigating product acceptance, for example, testing whether there are statistically significant differences between target segments is a basic step to a correct interpretation of the results of the study. This tool is written for marketers, rather than statisticians. Read more... |
![]() | Variation Analyst for Business Performance Result Evaluation
Test whether a significant difference exists between the results of comparable groups, such as sales growth in regions with and without a promotional offer. It applies the analysis of variance (ANOVA) method to a variety of data; reports results in a concise and comprehensible manner; and draws easy to understand, yet very helpful, charts designed for business decision-makers rather than statisticians. Read more... |

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