Business Intelligence Rollout Scope Statement
This is a practical guide to building a scope statement for a business intelligence rollout project — a definition of deliverables, boundaries and acceptance criteria, adapted to the realities of deploying BI dashboards and self-service analytics.
What a Scope Statement is
A scope statement is a definition of deliverables, boundaries and acceptance criteria. For the full concept and how it works in general, see Scope Statement. On a business intelligence rollout project it plays the same role, tuned to this kind of work.
Why it matters for a Business Intelligence Rollout project
Business Intelligence Rollout projects live or die on deploying BI dashboards and self-service analytics. A well-built scope statement 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 business intelligence rollout projects drift into avoidable delay and cost.
What to include
- Deliverables
- In scope
- Explicitly out of scope
- Acceptance criteria
- Constraints and assumptions
Business Intelligence Rollout-specific considerations
Tailor the scope statement to the risks that most often derail business intelligence rollout projects:
- Data trust and quality
- Dashboard sprawl
- User adoption
Example
On a real business intelligence rollout project, the scope statement would be shaped by deploying BI dashboards and self-service analytics. In particular, it should explicitly account for the project’s biggest risks — data trust and quality, dashboard sprawl, user adoption — rather than treating them as afterthoughts.