Glossary Terms Archive

Performance Baseline Measure: What It Is and How to Build One

You cannot improve what you do not measure. That sentence captures the entire purpose of a performance baseline. Before a Six Sigma team changes anything about a process, it must know exactly how that process performs right now. A performance baseline measure is that...

Ohno Circle: Origin, Method, and How Six Sigma Teams Use It Today

The Ohno Circle is a Lean observation exercise built by Taiichi Ohno at Toyota. A trainee stands inside a marked spot on the shop floor. They watch one process, without interrupting it, often for hours. The goal is direct: train the eye to see waste that reports and...

What Is Data Quality Testing? Definition, Types, Steps, and Why It Matters

Data quality testing is the process of checking whether data meets defined standards for accuracy, completeness, consistency, validity, uniqueness, and timeliness. It uses structured rules and checks to find errors, gaps, and inconsistencies before data reaches...

What Are Data Quality Dimensions? The 6 Core Dimensions Explained

Data quality dimensions are the standard criteria used to evaluate whether data is fit for its intended purpose. The six core dimensions are accuracy, completeness, consistency, timeliness, uniqueness, and validity. Each one measures a different type of data problem....

Weighted Scoring Prioritization: A Complete Guide for Six Sigma Teams

Weighted scoring prioritization is a decision-making method that evaluates competing options against a set of criteria, assigns each criterion a weight based on its importance, and calculates a total score for each option. The option with the highest total score ranks...