SAP Data Migration Planning and Governance

Course Category : Data Management

An advanced programme for establishing structured SAP data migration planning and governance, strengthening data quality, migration risk control, transition readiness, and sustainable data management throughout transformation initiatives.
Duration: 5 Days | Level: Advanced

Introduction

Data is one of the most critical dimensions of SAP transformation. Successful migration requires more than transferring records between systems; it depends on defining appropriate data scope, establishing ownership, controlling quality, managing dependencies, and governing migration decisions throughout the transformation lifecycle.
This course addresses the strategic planning and governance of SAP data migration, from scope definition and readiness assessment through cleansing, transformation, validation, cutover governance, and post-migration stabilisation. It emphasises governance structures, accountability, quality controls, risk management, and decision criteria required to maintain reliable enterprise data throughout SAP transformation programmes..

Targeted Audience

SAP Project and Programme Managers
SAP S/4HANA Transformation Leaders
Enterprise Data Managers and Data Owners
Data Governance and Data Quality Professionals
SAP Business and Process Analysts
Data Architects and Engineers
Enterprise Information and Systems Managers
Risk and Control Professionals Supporting SAP Programmes

Targeted Skills

SAP Data Migration Strategy Planning
Data Scope and Migration Prioritisation
Data Readiness and Quality Assessment
Migration Data Governance Design
Data Ownership, Accountability, and Decision Rights
Migration Risk and Dependency Management
Validation, Reconciliation, and Acceptance Governance
Cutover and Post-Migration Governance

Expected Outcomes

Develop an integrated understanding of the SAP data migration lifecycle.
Define migration scope and establish criteria for data selection, exclusion, and archiving.
Assess source-data readiness and identify quality deficiencies before migration.
Design governance structures covering ownership, accountability, and decision rights.
Establish controls for cleansing, transformation, validation, and reconciliation.
Identify migration risks and align them with mitigation and escalation mechanisms.
Develop clear data-readiness criteria supporting cutover decisions.
Strengthen sustainable data quality and governance after migration.

Training Topics Index

Positioning data migration within SAP and SAP S/4HANA transformation programmes
Defining migration objectives, data scope, and exclusion principles
Classifying master, transactional, reference, and historical data
Assessing source systems and data-to-process dependencies
Developing a phased data migration strategy and roadmap

Assessing source-data profiles and readiness levels
Identifying completeness, accuracy, consistency, and duplication issues
Establishing cleansing, standardisation, and enrichment rules
Defining transformation and source-to-target mapping principles
Establishing data quality metrics and acceptance criteria

Designing a governance model for the data migration programme
Defining data owner, steward, business, and technology responsibilities
Establishing accountability matrices and decision rights
Governing data policies, documentation, and decision records
Managing escalation, data issues, and migration exceptions

Identifying and classifying SAP data migration risks
Managing data dependencies, issues, and migration deviations
Establishing source-to-target validation and reconciliation controls
Defining acceptance, sign-off, and migration approval criteria
Maintaining audit evidence, traceability, and compliance controls

Assessing data readiness within cutover decision-making
Governing data freeze and cutover sequencing requirements
Monitoring data quality following target-system activation
Managing remediation and accountability during stabilisation
Transitioning from migration governance to sustainable operational data governance

Course Features

Updated and Interactive Content
Hypothetical Examples and Case Studies
Pre- and Post-assessments to Measure Impact
Verified Certificate with a QR Verification Code

SAP Data Migration Planning and Governance