Data Warehouse Build Project Proposal
This is a practical guide to building a project proposal for a data warehouse build project — the document that pitches the project to decision-makers before it is approved, adapted to the realities of building a central data warehouse for analytics.
What a Project Proposal is
A project proposal is the document that pitches the project to decision-makers before it is approved. For the full concept and how it works in general, see Project Proposal. 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 project proposal 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
- Problem or opportunity
- Proposed solution
- Scope and approach
- Cost and timeline
- Expected benefits
Data Warehouse Build-specific considerations
Tailor the project proposal 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 project proposal 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.