Course

Analysis and visualization of business data

This course is designed for managers and professionals in companies requiring fact-based decisions, fact-based improvement work and fact-based control of the performance of products and processes.

You will learn about methods and tools for standardizing the visualization and analysis of business data.

The course is part of Aksena's Black Belt Lean Six Sigma course.

Start date: 17.01.22

Number of days

4 days

Registration deadline

31.12.21

Location

Virtual classroom

Price

kr. 25.000 + vat

Dates/modules

Module 1: 17.01.22 – 20.01.22

Future courses

22.08.22 – Virtual classroom

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

CEO and Senior Advisor, Ph.D

Henning Bakken

Partner and Senior Advisor

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