Where Analytics Meets Excellence CMMI High Maturity for Competitive Advantage

CMMI High Maturity (ML4 & ML5) Implementation Approach

4. Scope of the Engagement

Included in Scope

• Organizational Unit (OU) Definition

• High Maturity practices integration (ML4 & ML5)

• Identification and establishment of Process Performance Baselines (PPBs)

• Identification and development of Process Performance Models (PPMs)

• Statistical process control (SPC) implementation

• Organizational performance dashboards

• Project-level quantitative management

• Preparation for Benchmark Appraisal (Dev/SVC/High Maturity)

1. Executive Summary

This proposal outlines a comprehensive approach to implement CMMI High Maturity (ML4 & ML5) practices within your organization. High Maturity focuses on predictability, statistical process control, quantitative management, and continuous optimization of development and service performance.

Achieving ML4/ML5 will enable your organization to:

• Improve predictability of cost, schedule, and quality

• Optimize process performance using quantitative models

• Apply statistical techniques to control process variation

• Achieve breakthrough performance improvements

• Strengthen customer confidence and differentiate in global markets

Our approach ensures an end-to-end, hands-on implementation aligned with the CMMI V3.0 model for Development, Services, or Combined Multi-Model Appraisal.

7.Implementation Approach

PHASE 1: Initiation & High-Maturity Gap Analysis (Weeks 1–4)

Activities

• Define OU and project selection

• Stakeholder workshops

• High-Maturity Gap Assessment (ML4 & ML5)

• Evaluate existing metrics, baselines, dashboards

• Identify statistical capability gaps

Deliverables

• HM Gap Analysis Report

• Data Maturity Assessment

• HM Implementation Plan

• Project Inclusion List

PHASE 2: High Maturity Process Definition & QMS Integration (Weeks 4–10)

Activities

• Define high maturity policies & governance

• Define HM measurement framework

• Create HM SOPs: PPB, PPM, SPC, CAR

• Build capability for measurable business objectives (MBOs)

• Develop standard data definitions and data quality rules

Deliverables

• Measurement & Analysis Framework (MAF)

• High Maturity Process Set (ML4 & ML5)

• Updated QMS Repository

• Standard KPIs & Operational Definitions

PHASE 3: Establish Process Performance Baselines (PPBs) (Weeks 8–16)

Activities

• Identify subprocesses influencing performance

• Collect historical data

• Data cleaning, validation & normalization

• Statistical analysis (Distribution, Control Limits, Capability Index, Sigma Level)

• Establish Stability & Capability of subprocesses

Deliverables

• PPB Statistical Reports

• Variable & Attribute Control Charts

• Subprocess Capability Index (Cpk, Ppk)

• PPB Dashboard

PHASE 4: Develop Process Performance Models (PPMs) (Weeks 12–20)

Activities

• Identify critical Xs (predictors) affecting performance outcomes

• Perform regression, correlation, DOE, ANOVA, time series

• Build predictive models for:

  • Defect prediction

  • Schedule variance prediction

  • Effort estimation

  • SLA performance forecasting

• Validate & Monitor PPMs

Deliverables

• PPM Documentation

• Validated Predictive Models

• PPM Usage Guidelines

• Predictive Dashboards

PHASE 5: Quantitative Project Execution (Weeks 20–32)

Activities

• Implement QM at project level

• Baseline vs actual comparison

• Apply control charts for project performance

• Risk-based quantitative intervention

• Data-driven decision reviews

Deliverables

• Project QPM Reports

• SPC Control Charts

• MBO Achievement Report

• Quantitative Management Tracker

PHASE 6: ML5 Optimization & CAR Rollout (Weeks 24–36)

Activities

• Identify chronic performance issues

• Perform advanced CAR using:

  • Fishbone

  • Why-Why

  • FMEA

  • Regression root cause

• Implement optimized subprocess changes

• Demonstrate measurable performance improvement

Deliverables

• CAR Reports

• Optimized Process Implementations

• Benefit Realization Reports

PHASE 7: Appraisal Preparation (Weeks 32–44)

Activities

• Evidence audit and PII mapping

• HM rehearsal and dry runs

• ATM preparation

• Appraisal-ready evidence creation

• Fix appraisal gaps

Deliverables

• ML4/ML5 Evidence Repository

• PII Worksheets

• Readiness Report

5.Project Duration & Timeline

• ML 4 Implementation: 4 ~ 6 months

• ML 5 Implementation: 3~4 months

  Total Estimated Duration: 6~12 months

2. Expected Benefits for the Organization

ML4 Benefits

· Predictable project outcomes

· Reduced cost and cycle time

· Statistically controlled processes

· Data-driven decision making

ML5 Benefits

· Predictive performance modeling

· Business-level optimization and automation

· Consistent reduction in defects and rework

· Measurable improvement in customer satisfaction

6.Commercials / Costing

Option 1: Full HM Consulting (End-to-End)

₹ X,XX,000 – ₹ XX,XX,000 (India)
USD X0,000 – X00,000 (International)

Includes:
✔ Gap Analysis
✔ QMS creation
✔ PPB & PPM
✔ CAR Optimization
✔ Appraisal support
✔ Continuous mentoring

Option 2: HM Coaching Only

· Monthly Retainer Model

3.Tools & Technology Support

We use industry-standard tools for HM implementation:

• Minitab / Python / R for statistical modeling

• Power BI / Tableau for dashboards

• Jira / ServiceNow for service metrics

• Excel PPB/PPM templates

• CMMI-compliant QMS repositories

Why Choose Us

• 20+ years of Process, Quality & CMMI experience

• Certified High Maturity Appraisal Team Member (ATM) – Dev + SVC + HM

• Successfully implemented CMMI HM for global clients (US, India, Middle East, Pakistan)

• Strong expertise in predictive modeling, statistical analysis, SPC, and Six Sigma

• End-to-end capability from QMS → PPB → PPM → HM Appraisal

• Tailored, business-focused approach (no generic templates)

• Experience across services, development, cybersecurity, consulting, and IT operations