Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control)

Categories: Lean Six Sigma
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About Course

Six Sigma DMAIC is a structured, data-driven methodology used for process improvement. DMAIC stands for:

  1. Define: Identify the problem or process that needs improvement, set project goals, and outline the scope. 

  2. Measure: Collect data to establish baselines, understand current performance, and quantify the problem. For example, measuring the average turnaround time for policy renewals.

  3. Analyze: Examine the data to identify root causes of inefficiencies or risks. This might involve analyzing claims data to uncover bottlenecks or sources of errors.

  4. Improve: Develop and implement solutions to address root causes. For example, streamlining workflows or introducing new digital tools to reduce manual errors.

  5. Control: Put controls in place to sustain improvements, such as regular monitoring, updated procedures, or dashboards for ongoing performance tracking.

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What Will You Learn?

  • Structured Problem Solving - DMAIC provides a clear, step-by-step framework for addressing process inefficiencies or quality issues. This structure ensures that improvements are systematic rather than ad hoc, reducing the risk of oversight.
  • Data-Driven Decisions - By emphasising measurement and analysis, DMAIC ensures that decisions are based on robust data rather than assumptions.
  • Root Cause Identification - DMAIC focuses on uncovering the underlying causes of problems, not just treating symptoms. This leads to more sustainable solutions and reduces the likelihood of recurring issues in insurance operations

Course Content

Define
Identify the problem or process that needs improvement, set project goals, and outline the scope.

  • Six Sigma Management at Corporate Level
  • Six Sigma Project Team Structure
  • Create team roles and responsibilities
  • Create a Problem Statement
  • Create the SIPOC process map
  • What is CTQ (Critical to Quality)
  • Create CTQ Tree
  • Creating a Project Charter
  • Stakeholder Analysis
  • Outcome expected after the Define Stage

Measure
Collect data to establish baselines, understand current performance, and quantify the problem. For example, measuring the average turnaround time for policy renewals.

Analyze
Examine the data to identify root causes of inefficiencies or risks. This might involve analyzing claims data to uncover bottlenecks or sources of errors.

Improve
Develop and implement solutions to address root causes. For example, streamlining workflows or introducing new digital tools to reduce manual errors.

Control
Put controls in place to sustain improvements, such as regular monitoring, updated procedures, or dashboards for ongoing performance tracking.