Business Intelligence Rollout Issue Log
This is a practical guide to building a issue log for a business intelligence rollout project — a register of problems that have occurred and need resolving, adapted to the realities of deploying BI dashboards and self-service analytics.
What a Issue Log is
A issue log is a register of problems that have occurred and need resolving. For the full concept and how it works in general, see Issue Log. 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 issue log 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
- Issue description
- Priority and severity
- Owner
- Resolution and status
Business Intelligence Rollout-specific considerations
Tailor the issue log 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 issue log 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.