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Key Takeaways A p value represents the probability of observing your data (or more extreme results) if the null hypothesis
The CTQ tool is used during the Define phase of a Six Sigma project. It
In today’s business world, the cost of poor quality is more important than ever. With businesses operating in an increasingly
Correlation and Regression Analysis: Correlation and regression analysis are essential tools in statistical analysis. Put simply, correlation measures the relationship
A control plan in LSS, or Lean Six Sigma, is a document
Confidence intervals are a powerful tool for making well-informed business decisions. A confidence
The chi-square test is a statistical method used to compare differences between two or more variables. This test can be
The Central Limit Theorem (CLT) is a statistical theory that states that given a sufficiently
Capability analysis is a statistical methodology used to determine process capability. It involves collecting data
An Introduction to the Box Plot In this post, we provide a comprehensive overview of the box plot. The
Introduction What to Expect from This Article Lean Flow is a methodology that focuses on creating a smooth, uninterrupted flow
Wondering whether you should get a Six Sigma Green Belt certification? This credential trains you to lead quality improvement projects
In the quest for operational excellence, organisations invest heavily in digital dashboards and analytics. Yet the simplest, most powerful method
A recent Medium feature, “On Navigating Change: How ChangeOps, Strategy, and Maturity Drive Success”, argues that most transformation efforts falter
Key Takeaways The Kano Model, created by Dr. Noriaki Kano in 1984, categorises product features based on their impact on
BNY’s CEO Robin Vince has turbocharged the bank’s transformation since 2022 by tearing down silos, unifying the corporate culture, and
Organisations today face unrelenting pressure to do more with less. Yet chasing cost cuts without a coherent framework can undermine
In a world increasingly shaped by artificial intelligence, operations leaders face a pivotal question: how do we deploy Gen AI
In an era where “faster, cheaper, better” is more than a catchphrase, generative AI (gen AI) stands out as a
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