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The Project Technologies Group


Common Practices in Quantitative & Statistical Data Analysis

Module Summary

Industry and businesses routinely collect information on product sales, customer services and market demands. Careful examination of such data can produce vital information for important business decisions. Simple statistical techniques like bar graphing, trend analysis, Pareto charting, histogram plotting, etc. can produce valuable information.

The nature of exact calculation necessary, however, depends on the type of collected data and the perceived business value of the information it may contain. When possible, the data collection scheme should be designed such that desired information is readily obtainable.

This session covers common data analysis technique used by practitioners without much background in statistical science. The presentation is designed for attendees employed at all business activities and with or without a college education in science and technology.

Discussion Topics

  1. Introduction
  2. Data Collection
  3. Pareto Analysis
  4. Cause-and Effect Diagram
  5. Histogram
  6. Time-History (X vs. Y) Plot
  7. Scatter Diagram
  8. Regression Analysis
  9. Performance Monitoring
  10. Control Charts for Process Performance Study

Who Should Attend

People at all level of service organization like hospital, governmental organization, transportation, etc. who deals with reduction, manipulation and presentation of customer satisfaction and performance data of any kind.

Deliverables

Develop an understanding of common practices in data analysis and presentations. Attendees will receive brief seminar presentation materials.

Prerequisites

There is no minimum educational background requirement for this seminar

Program Length

1/2 day


The Project Technologies Group
Voice: (248)476-1234
Fax: (248)641-0210
Website: http://ProjectTech.com
E-mail: info@ProjectTech.com

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