Data Migration Project Dashboard
This is a practical guide to building a project dashboard for a data migration project — a visual summary of the project’s key metrics and status, adapted to the realities of moving data from legacy systems into a new platform.
What a Project Dashboard is
A project dashboard is a visual summary of the project’s key metrics and status. For the full concept and how it works in general, see Project Dashboard. 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 project dashboard 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
- Status indicators
- Schedule and cost KPIs
- Milestones
- Top risks/issues
Data Migration-specific considerations
Tailor the project dashboard 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 project dashboard 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.