Analysis and visualization of business data
This 2-day course is designed for managers and professionals in businesses that require fact-based decision making, fact-based improvement work and fact-based control of the performance of products and processes.
You will learn about methods and tools to standardize the visualization and analysis of business data.
The course is part of Aksena’s Black Belt Lean Six Sigma course.
The target group
- Managers responsible for internal business development (Operational Excellence program or strategic improvement program)
- Managers responsible for the operation
- Managers responsible 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:
- How data analytics can be used for fact-based documentation of the performance of products and processes
- How data analytics can be used for fact-based root cause analysis
- How data analysis can be used for fact-based prioritization of improvement work
- How data visualization can be used for fact-based prioritization and building shared fact-based insights
Summary of the course content
The course introduces key tools for making fact-based decisions, driving fact-based improvement work and establishing fact-based control of the performance of products and processes.
More details about the module content
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Course Content
The course introduces important tools for standardized visualization and analysis of business data without using formulas.
Key topics included:
- Different basic tools for visualizing data
- The importance of understanding variation
- Distributions and what they tell us
- Sampling/spot checking of data
- Estimation of parameters
- Uncertainty in estimation
- Measurement system analysis – are we measuring what we intend to measure?
- Hypothesis testing – we measure a difference, but is it significant?
- Durability studies – what is the performance in relation to specifications?
- Linear regression analysis – can we explain the variation observed?
- Experimental trial design and why it’s important
An overview of the tools included can be found further down the page.
Practical Information
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Overview of tools and methods
The following tools are included:
- Histogram
- Normal distribution and other distributions
- Pareto diagram
- Boxplot
- Dotplot
- Control chart (I, MR, Xbar, R, P, U)
- Simple and multiple linear regression analysis
- Introduction to Design of Experiments (DoE)
- Capability analysis
- Hypothesis testing with two samples
- Correlation
- The confidence interval
- Measurement System Analysis (MSA), Bias & Linearity Studies
Some of the methods and tools are described at an introductory level, others are described in depth.
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You will receive this 2 weeks before the course starts
- Agenda for the course
- Recommended preparations
- Other practical information
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Diploma and certification
Diploma: To receive a diploma for confirmed successful completion, you must have attended all course days.
Certification: This course is part of Aksena’s Black Belt course. The requirements for Black Belt certification can be found in the Black Belt Lean Six Sigma course description.
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Course material
The following is included in the course:
- Electronic version of the course material
- April 15, 2025 – April 16, 2025
