Which methodology is focused on analytics and data-driven decisions to reduce defects?

Six Sigma is a methodology that emphasizes the use of data and statistical analysis to identify and eliminate defects in processes. It is structured around the DMAIC framework, which stands for Define, Measure, Analyze, Improve, and Control. This approach empowers organizations to make informed decisions based on quantitative data, thereby enhancing overall quality and reducing variability in processes.

In Six Sigma, the goal is to achieve near perfection in quality by aiming for a maximum of 3.4 defects per million opportunities. This rigorous focus on measurement and analysis ensures that organizations can effectively target the root causes of defects and implement solutions that are backed by solid evidence.

The other methodologies serve different core purposes; for instance, Lean focuses on waste elimination and improving flow within a process, while the Theory of Constraints aims to identify and manage the bottlenecks affecting throughput. Value Stream Mapping is a technique used to visualize and analyze the steps involved in delivering a product or service but is not primarily centered on data-driven defect reduction like Six Sigma is.