Business Intelligence Rollout Quality Plan
This is a practical guide to building a quality plan for a business intelligence rollout project — how quality will be planned, assured and controlled, adapted to the realities of deploying BI dashboards and self-service analytics.
What a Quality Plan is
A quality plan is how quality will be planned, assured and controlled. For the full concept and how it works in general, see Quality Management Plan. 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 quality 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 business intelligence rollout projects drift into avoidable delay and cost.
What to include
- Quality standards
- Quality metrics
- QA activities
- QC / inspection approach
Business Intelligence Rollout-specific considerations
Tailor the quality plan 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 quality plan 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.