Data Warehouse Build Benefits Realisation Plan
This is a practical guide to building a benefits realisation plan for a data warehouse build project — how the project’s benefits will be measured and actually realised, adapted to the realities of building a central data warehouse for analytics.
What a Benefits Realisation Plan is
A benefits realisation plan is how the project’s benefits will be measured and actually realised. For the full concept and how it works in general, see Benefits Realization. On a data warehouse build project it plays the same role, tuned to this kind of work.
Why it matters for a Data Warehouse Build project
Data Warehouse Build projects live or die on building a central data warehouse for analytics. A well-built benefits realisation plan 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 warehouse build projects drift into avoidable delay and cost.
What to include
- Target benefits
- Metrics / KPIs
- Baseline values
- Owner
- Realisation timeline
Data Warehouse Build-specific considerations
Tailor the benefits realisation plan to the risks that most often derail data warehouse build projects:
- Source-system integration
- Data modelling decisions
- Governance and access control
Example
On a real data warehouse build project, the benefits realisation plan would be shaped by building a central data warehouse for analytics. In particular, it should explicitly account for the project’s biggest risks — source-system integration, data modelling decisions, governance and access control — rather than treating them as afterthoughts.