Collecting data from every unit in a population is rarely practical. Sampling solves this by selecting a subset of the population and using it to draw conclusions about the whole. But not all sampling methods work the same way. Some rely on random selection. Others...
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...
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...
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...
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....