Data Warehouse Build Risk Register
This is a practical guide to building a risk register for a data warehouse build project — the living log of risks with scores, owners and responses, adapted to the realities of building a central data warehouse for analytics.
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 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 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 warehouse build projects drift into avoidable delay and cost.
What to include
- Risk description and category
- Probability and impact
- Risk score
- Owner
- Response and trigger
Data Warehouse Build-specific considerations
Tailor the risk register 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 risk register 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.