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"Six Sigma" is best defined as a data-driven methodology to improve process quality. This methodology emphasizes the use of statistical tools and techniques to identify and eliminate defects in processes, ultimately aiming for near perfection in quality. The goal of Six Sigma is to achieve a level of quality that allows for only 3.4 defects per million opportunities, which underscores its focus on process improvement through rigorous analysis and measurement of performance.

The approach encourages organizations to delve deeply into their processes, systematically measuring various aspects to discover areas for improvement. By employing techniques such as DMAIC (Define, Measure, Analyze, Improve, Control) and DMADV (Define, Measure, Analyze, Design, Verify), Six Sigma not only improves the quality of outputs but also enhances efficiency and customer satisfaction.

This focus on statistical analysis and process optimization makes option B the correct definition of Six Sigma, as it encapsulates the holistic approach that not only includes quality improvement but also aligns with the strategic goals of an organization. Other options, while they may reflect certain aspects of organizational processes, do not capture the comprehensive and systematic methodology that Six Sigma represents.