S/4HANA Transformation & Cloud Migration

What We Do

S/4HANA readiness assessment and business case development
Migration path selection (Greenfield, Brownfield, Selective Data Transition)
Custom code analysis and remediation planning
Data strategy and migration approach
Cloud platform selection and sizing (Azure, AWS, GCP)
Infrastructure design for cloud or on-premise deployment
Cutover planning and execution
30-day post-go-live stabilization support

Why It Matters

S/4HANA transformation is a strategic decision with long-term implications:

Mainstream Maintenance Deadline: SAP ECC 6.0 support ends in 2027 (extended to 2030 with additional fees)
Technology Foundation: S/4HANA provides modern architecture for digital transformation
Performance Gains: In-memory database enables real-time analytics and faster processing
Simplified Data Model: Reduced table structures improve system performance and maintenance
Cloud Flexibility: Migration opportunity to move to cloud infrastructure
Process Optimization: Chance to re-evaluate and improve business processes

However, S/4HANA transformation is complex and carries significant risk. Poor planning leads to extended timelines, budget overruns, and business disruption. Our structured approach controls these risks.

How We Do It

Step 1: Readiness Discovery

Run SAP Readiness Check to identify technical prerequisites
Analyze custom code for S/4HANA compatibility issues
Review add-ons and third-party integrations for certification status
Assess data volume and quality for migration
Document current landscape complexity and dependencies
Identify business drivers and success criteria

Step 2: Migration Path Selection

We help you choose the approach that fits your situation:

Greenfield (New Implementation)

Best for: Significant process redesign, clean slate desired
Approach: New S/4HANA system, migrate data selectively, rebuild configurations
Timeline: 12-24 months typical
Risk: Longer project, more business change management

Brownfield (System Conversion)

Best for: Preserve existing configurations, minimize disruption
Approach: In-place upgrade of ECC to S/4HANA, keep customizations
Timeline: 6-12 months typical
Risk: Carries forward technical debt, limited process improvement

Selective Data Transition (Hybrid)

Best for: Balance between clean slate and speed
Approach: New system, migrate selected data and configurations
Timeline: 9-18 months typical
Risk: Complexity in data selection and mapping

Step 3: Cloud Strategy (Optional)

Evaluate cloud vs. on-premise based on business requirements
Size infrastructure for target workload (CPU, memory, storage, IOPS)
Design high availability and disaster recovery topology
Estimate cloud costs and compare to on-premise TCO
Plan network connectivity and security controls
Free analysis of your assets in AWS, Azure, Google Cloud environments
Cloud cost optimization (minimum 30% up to 50% cost reduction)
5 Pillar Management: Operational Excellence, Security, Sustainability, High Performance, Cost Optimization

Step 4: Data Strategy

Define data retention policies (what to migrate, what to archive)
Plan data quality remediation for critical master data
Design data migration procedures and validation rules
Establish cutover sequence and timing
Prepare rollback and contingency plans

Step 5: Execution & Cutover

Build and configure target S/4HANA environment
Execute data migration in waves (test, dress rehearsal, production)
Validate data integrity and business process functionality
Conduct user acceptance testing
Execute controlled cutover during planned window
Monitor system stability and performance post-go-live

Step 6: Stabilization (30 Days Post-Go-Live)

Provide on-site or remote support for initial period
Address issues discovered during early production usage
Monitor system performance and optimize as needed
Collect lessons learned and update documentation
Transition to steady-state support model

Cloud Platform Options

Platform	SAP Certification	Key Considerations
SAP Cloud (RISE)	Native	Fully managed by SAP, bundled licensing, limited customization
Microsoft Azure	Certified	Strong SAP partnership, Azure-specific tools, broad region availability
AWS	Certified	Mature SAP offerings, extensive service portfolio, cost optimization tools
Google Cloud	Certified	Growing SAP capabilities, strong data/analytics integration
On-Premise	N/A	Full control, existing infrastructure investment, traditional model

Deliverables

Readiness Assessment

SAP Readiness Check results
Custom code analysis report
Add-on compatibility review
Data volume and quality assessment
Business case summary

Migration Strategy

Recommended migration path with rationale
High-level project timeline
Resource requirements
Risk assessment and mitigation plan
Success criteria definitions

Technical Design

Target architecture diagrams
Infrastructure sizing specifications
HA/DR topology design
Network and security design
Integration architecture

Cutover Plan

Detailed cutover procedure
Data migration approach
Validation and testing procedures
Rollback plan
Communication plan

Assurances

Controlled Cutover Window: We define and execute within agreed downtime window
Rollback Capability: Documented procedure to return to source system if needed
Data Validation: Automated and manual checks to ensure data integrity
30-Day Stabilization: Dedicated support during critical initial period
Knowledge Transfer: Training and documentation for your team
Lessons Learned: Post-project review to capture improvements