Data Migration
Data Migration is taking data from a legacy system and moving it to a new system. Often involves data clean-up and improvement in the process.
Application Project have a common critical requirement, Migrating:
- Application Implementation: From legacy into new application
- Application Upgrade: From previous to new version
- Application Instance Consolidation: From multiple instances to fewer instances
- M&A Integration: From acquired systems
- Legacy Retirement: From legacy into new systems
- Outsourcing: From company to outsourcer
Top 5 challenges of data migration
- Lack of Migration Expertise
- Identifying Source Data
- Continuously Moving Target
- Meeting Data Validation Thresholds
- Revisiting after Initial Migration
Best Practice Migration Methodology
- Processes to improve efficiency
- Profiling - diving in and out to catch problems early
- Development - analysts and developers working in tandem
- Utilities to accelerate development
- Templates to generate repetitive mappings
- Programmatic control for regression processes
- Best Practices to reduce risk
- Focus on high-risk areas first for go/no-go decisions
- Establish audit framework to prove migration
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