SAP Data Migration Checklist: Planning Method and Checklist

Decision context

SAP data migration is a critical phase in ERP modernization projects, requiring meticulous planning and execution to preserve data integrity and ensure operational continuity. This checklist guides project teams through essential steps to prepare, validate, and execute SAP data migration effectively.

Successful SAP data migration demands coordination across technical, functional, and business domains. It involves assessing source data quality, mapping data structures, managing dependencies, and validating migrated data against business requirements and SAP system readiness.

This checklist emphasizes evidence-based validation and risk mitigation, highlighting the importance of documented approvals, reconciliation artifacts, and fallback procedures. It supports teams in identifying gaps early and aligning migration activities with SAP governance and compliance standards.

Pre-Migration Planning and Assessment

Begin with a thorough assessment of source systems and data quality. Identify all relevant SAP modules and custom developments impacted by migration. Document dependencies and interfaces to external systems to avoid disruptions.

Establish a migration scope aligned with SAP readiness and modernization goals. Define data ownership, roles, and responsibilities, and secure stakeholder approvals. Prepare a detailed migration plan including timelines, resources, and contingency measures.

• Inventory source data and SAP objects (tables, DDIC elements, ABAP code)
• Assess data quality and completeness with automated tools and manual review
• Map data fields to target SAP structures and document transformation rules

Data Extraction and Validation

Extract data using SAP-approved methods ensuring completeness and consistency. Capture extraction logs and verify data volumes against expectations.

Validate extracted data against business rules and SAP readiness criteria. Use automated checks for data anomalies, missing values, and format compliance. Engage business users for sample validations to confirm accuracy.

• Use SAP standard extraction tools and interfaces
• Generate extraction receipts and logs for auditability
• Perform data profiling and cleansing before migration

Migration Execution and Monitoring

Execute data loading into the SAP target environment using controlled transport mechanisms. Monitor the process for errors, performance bottlenecks, and data integrity issues.

Implement checkpoints and rollback procedures to enable exact-state recovery if needed. Record runtime receipts and test results for each migration batch to support traceability and compliance.

• Use SAP transport and change management tools for data import
• Track migration progress with dashboards and alerts
• Maintain detailed logs of errors and corrective actions

Post-Migration Reconciliation and Approval

Perform comprehensive reconciliation between source and target data sets to identify discrepancies. Use automated comparison tools and manual spot checks to validate data completeness and correctness.

Document reconciliation evidence and obtain formal approvals from data owners and business stakeholders before proceeding to production cutover.

Establish continuous monitoring and data quality checks post-migration to detect latent issues early.

• Generate reconciliation reports with variance analysis
• Record approval signatures and audit trails
• Schedule follow-up data quality assessments

Fallback and Continuity Planning

Prepare rollback plans that enable restoration of the SAP environment to its pre-migration state in case of critical failures. Document exact-state recovery procedures and test them in simulations.

Coordinate cutover activities to minimize downtime and business impact. Ensure all migration-related credentials and service data are securely maintained within customer infrastructure.

Maintain a history of migration attempts, improvements, and lessons learned to inform future modernization cycles.

• Develop rollback scripts and recovery packages
• Coordinate with SAP Basis and security teams for access control
• Archive migration logs and evidence securely

What the workflow must cover

• Comprehensive Data Quality Assessment. Adranum ingests SAP data-quality evidence to identify missing or inconsistent data before migration, enabling targeted remediation.
• Dependency Mapping and Impact Analysis. Automatically maps observed and inferred dependencies among SAP objects to inform keep, replace, remediate, or retire decisions during migration.
• Controlled Migration Execution. Generates content-addressed implementation packages and impacted test sets, coordinating approvals and cutover activities for traceable migration.
• Reconciliation and Exact-State Recovery. Records reconciliation evidence and supports exact-state recovery procedures, ensuring fallback options and auditability post-migration.
• Evidence-Driven Approval Workflow. Captures human approvals linked to migration artifacts, maintaining an auditable trail for governance and compliance.
• Simulation and Bottleneck Analysis. Supports immutable simulations of migration scenarios and identifies process bottlenecks to optimize migration planning and execution.

Implementation workflow

Start with a bounded customer scenario and explicit acceptance criteria. Preserve native SAP permissions and accountable review while the software creates a repeatable evidence chain.

1. Inventory and assess source SAP data and custom developments
2. Define migration scope, roles, and detailed plan with stakeholder approvals
3. Extract and validate data using SAP-approved tools and business user reviews
4. Execute controlled data loading with monitoring, logging, and error handling
5. Perform post-migration reconciliation and obtain formal approvals
6. Implement fallback procedures and test exact-state recovery
7. Archive migration evidence and document lessons learned

Evidence to require

A transformation claim should resolve to observable artifacts, decisions, and execution receipts. Ask for the following evidence in a representative evaluation:

• Source data inventories and quality reports
• SAP readiness and ATC scan results
• Extraction logs and data profiling outputs
• Mapping and transformation documentation
• Migration runtime receipts and test results
• Reconciliation reports with variance analysis
• Human approval records and audit trails
• Rollback scripts and recovery packages
• Cutover coordination logs
• Post-migration monitoring reports

Boundaries and non-claims

Adranum separates analysis, proposal, human review, package creation, customer-local validation, and production execution. A later state never rewrites the evidence that supported an earlier decision.

• Does not replace SAP licensing or Basis administration responsibilities
• Generated migration code proposals require customer compilation and runtime validation
• Does not cover specialist testing tools beyond SAP standard capabilities
• Does not guarantee SAP certification or compliance beyond documented evidence

Public comparison sources

Competitor statements are limited to current public materials. Verify them during procurement because products and packaging change.

• ERP migration checklist: Key strategies for success
• The Ultimate SAP Data Migration Checklist for 2026
• Deep Dive Checklist for SAP S/4HANA Migration
• SAP Migration Checklist
• SAP Data Migration Checklist: Everything to Prepare ...

Buyer checklist

• What SAP modules and custom developments are in migration scope?
• How is data quality assessed and remediated before migration?
• What tools and methods are used for data extraction and validation?
• How are dependencies and interfaces managed during migration?
• What rollback and exact-state recovery procedures are in place?
• How is migration progress monitored and errors handled?
• What approvals and audit trails are maintained?
• How is post-migration data quality ensured?