Transformation Playbooks

ERP & Data Integration

8-12 months

Strategic framework for aligning ERP systems with future-state business structures while maintaining data integrity and operational continuity.

✓ Data mapping & governance
✓ System integration sequencing
✓ Change management protocols
✓ Performance monitoring KPIs

AI Process Automation

4-6 months

Lean-based approach to identifying, prioritizing, and implementing AI-driven process automation across finance operations.

✓ Process mining & analysis
✓ Automation opportunity scoring
✓ ROI-driven implementation sequence
✓ Continuous improvement loops

Operating Model Design

6-9 months

Strategic Design Thinking methodology for creating data-enabled operating models that drive competitive advantage and organizational agility.

✓ Target operating model design
✓ Capability gap analysis
✓ Organizational change roadmap
✓ Success metrics framework

Data Governance Foundation

3-5 months

Comprehensive framework for establishing enterprise-grade data governance that supports AI initiatives and regulatory compliance.

✓ Data classification & lineage
✓ Quality monitoring systems
✓ Compliance automation
✓ Stewardship operating model

Portfolio Sequencing

2-3 months

Strategic framework for sequencing transformation initiatives based on data dependencies, risk profiles, and value realization timelines.

✓ Initiative prioritization matrix
✓ Dependency mapping
✓ Risk-adjusted sequencing
✓ Value realization tracking

KPI & Performance System

4-6 months

Data-led approach to designing and implementing performance management systems that drive behavioral change and business outcomes.

✓ Strategic KPI framework
✓ Real-time monitoring dashboards
✓ Predictive performance analytics
✓ Incentive alignment model

The 12-Phase Data-Centric Framework

Foundation (Phases 1-3)

1
Data Landscape Assessment

Comprehensive audit of current data architecture, quality, and governance capabilities

2
Strategic Alignment

Align transformation objectives with business strategy and data capabilities

3
Governance Framework

Establish data governance, quality standards, and stewardship models

Build (Phases 4-8)

4
Architecture Design

Design target-state data and technology architecture

5
Process Redesign

Redesign finance processes with data-centric and AI-enabled capabilities

6
Technology Integration

Deploy core platforms, integrations, and automation tools

7
Data Integration

Implement data pipelines, quality controls, and monitoring systems

8
AI Implementation

Deploy AI models for forecasting, automation, and decision support

Deploy & Optimize (Phases 9-12)

9
Change Management

Execute comprehensive change management and training programs

10
Go-Live & Support

Deploy solutions with comprehensive support and monitoring

11
Performance Optimization

Monitor, measure, and optimize solution performance and business outcomes

12
Continuous Improvement

Establish ongoing optimization and innovation capabilities

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