Data Migration Risk Register
This is a practical guide to building a risk register for a data migration project — the living log of risks with scores, owners and responses, adapted to the realities of moving data from legacy systems into a new platform.
What a Risk Register is
A risk register is the living log of risks with scores, owners and responses. For the full concept and how it works in general, see Risk Register. On a data migration project it plays the same role, tuned to this kind of work.
Why it matters for a Data Migration project
Data Migration projects live or die on moving data from legacy systems into a new platform. A well-built risk register gives the team a shared, explicit reference for exactly that — reducing ambiguity, aligning stakeholders, and making problems visible early enough to act. Skipping it, or doing it generically, is how data migration projects drift into avoidable delay and cost.
What to include
- Risk description and category
- Probability and impact
- Risk score
- Owner
- Response and trigger
Data Migration-specific considerations
Tailor the risk register to the risks that most often derail data migration projects:
- Data quality and lineage
- Field mapping errors
- Reconciliation and cutover
Example
On a real data migration project, the risk register would be shaped by moving data from legacy systems into a new platform. In particular, it should explicitly account for the project’s biggest risks — data quality and lineage, field mapping errors, reconciliation and cutover — rather than treating them as afterthoughts.