Analysis and visualization of business data

Target groups

• Managers with responsibility for internal business development (Operational Excellence program or strategic improvement program)
• Managers responsible for the operation
• Managers with responsibility for the quality system, audits and internal standards
• Managers and professionals in process and product development
• Improvement leaders and improvement experts
• Lean Six Sigma Black Belts, Lean Managers, Lean Navigators and Lean Coordinators

Important topics in this course

1. How data analysis can be used for documentation of product and process performance
2. How data analysis can be used for fact-based root cause analysis
3. How data analysis can be used for fact-based prioritization in improvement processes
4. How visualization of data can be used to build a common fact-based understanding

More details on the course content

• Course content

  This course introduces important tools for standardized visualization and analysis of business data without the use of formulas. The analysis program Minitab is used in the exercises.

  Topics covered:

  • Various basic tools for visualizing data
  • The importance of understanding variation
  • Distributions and what they tell us
  • Sampling of data
  • Estimation of parameters
  • Uncertainty in estimation
  • Measurement system analysis – do we measure what we intend to measure?
  • Hypothesis testing – we measure a difference, but is it significant?
  • Capability analysis – what is the performance when measured against the specifications?
  • Linear regression analysis – can we explain the variation observed?
  • Experimental design and why it is important

   

  An overview of tools included is found further down on this page.

Practical details

• Summary of tools and methods

  The following tools are included:

  • Histogram
  • The normal distribution and other distributions
  • Pareto diagram
  • Boxplot
  • Dotplot
  • Control charts (I, MR, Xbar, R, P, U)
  • Simple and multiple linear regression analysis
  • Introduction to Experimental Design (DoE)
  • Capability analysis
  • Hypothesis testing for two samples
  • Correlation
  • Scatterdiagram
  • The confidence interval
  • Measurement system analysis using MSA, Bias & Linearity Studies

   

  Some of the methods and tools are described at the introductory level, others are described thoroughly.

• This is provided two weeks before the course start
  • Agenda for the course
  • Recommended preparation
  • Other practical information
• Diploma and certification

  Diploma: In order to receive a diploma for confirmed, successful completion, you must have participated in all course days.

  Certification: The course is part of Aksena’s Black Belt course. The requirements for becoming a Black Belt certified can be found in the description for the Black Belt Lean Six Sigma course.

• Course material

  The following is included in the course:

  • Electronically distributed course material

Trainers

Sven H. Danielsen

Partner, Ph.D

More about Sven

Henning Bakken

Partner

More about Henning