Six Sigma

Intro

Six Sigma is a data‑driven methodology for reducing defects and variation in processes. In EA and BPM, it complements architecture by improving quality and performance.

Key points:

• Uses structured DMAIC/DMADV approaches.
• Focuses on measurable outcomes and defect reduction.
• Common use cases across EA/BPM/Data/App/Tech include process capability analysis, root‑cause removal, and service quality improvement.
• Pitfall: applying tools without sufficient data or problem definition.

Examples:

• Lowering error rates in order entry through root‑cause fixes.
• Stabilizing incident resolution times with variation control.
• Improving data quality in customer records.

In practice:

Start with clear problem statements and baselines; apply Six Sigma alongside process modeling and governance.

Related terms: Lean; Key Performance Indicator; Root Cause Analysis

FAQs:

Q: Does Six Sigma only apply to manufacturing?
A: No; it’s widely used in services and IT.

Q: Can Six Sigma work with Agile?
A: Yes; use data‑driven improvement within iterative delivery.

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