Data Migration
Data Migration
Migration Approach
A. Assessment & Planning
- Conduct data profiling and source system analysis.
- Define migration scope, business rules, and mapping strategy.
- Identify and mitigate potential data quality issues.
- Define success criteria, rollback strategy, and migration schedule.
B .Data Mapping and Transformation
- Map legacy data fields to new core banking schema.
- Design transformation rules for format changes, code conversions, etc.
- Validate data mapping with business and technology stakeholders.
C. Extraction, Transformation, and Load (ETL)
- Extraction: Securely extract required data from the legacy system.
- Transformation: Apply mapping logic and business rules.
- Load: Insert data into staging area and then to the target system.
D. Data Validation & Reconciliation
- Pre- and post-migration data validation against source.
- Perform control total checks, record count validations, and sample data verification.
- Reconciliation of financial balances and customer data.
E. Testing Phases
- System Integration Testing (SIT) – Validate data flow and system behavior.
- User Acceptance Testing (UAT) – Business users validate data and workflows.
- Mock Runs / Dress Rehearsals – End-to-end simulation of migration.
E. Testing Phases
- System Integration Testing (SIT) – Validate data flow and system behavior.
- User Acceptance Testing (UAT) – Business users validate data and workflows.
- Mock Runs / Dress Rehearsals – End-to-end simulation of migration.
F. Cutover Planning and Execution
- Final migration preparation and freeze window definition.
- Backup legacy system data.
- Perform final cutover ETL in controlled window.
- Post-migration verification and sign-off.
G. Post-Migration Support
- Hypercare support to resolve post-migration issues.
- Monitor system performance and data consistency.
- Final reconciliation and audit compliance check.
Governance & Risk Management
- Establish Data Migration Governance Board.
- Maintain audit trails of all data movement and transformations.
- Regular reporting to stakeholders on migration status and issues.
- Define rollback mechanisms and contingency planning.
Tools and Technology
- ETL Tools
- Data Quality Tools
- Reconciliation Scripts and Automated Validators
- Secure File Transfer Protocols and Encryption Mechanisms