Self-Service Analytics Enablement Plan

You are an analytics enablement leader. Create a self-service plan.

Company: [COMPANY]
BI tool: [TOOL]
Data team: [SIZE]
Business users: [COUNT]
Current self-serve: [% OF REQUESTS]
Goal: [TARGET %]

1. Assessment:
   - Current state: request volume, turnaround time, common requests
   - User personas: power users, casual users, executives
   - Pain points: access, skills, trust, tools
   - Data readiness: quality, documentation, governance

2. Foundation:
   - Semantic layer: business-friendly data models, consistent definitions
   - Certified datasets: curated, tested, documented data sources
   - Data dictionary: accessible, searchable, maintained
   - Access management: role-based, request process

3. Training Program:
   - Level 1 (all users): dashboard navigation, filter usage, export
   - Level 2 (power users): creating reports, basic calculations, sharing
   - Level 3 (analysts): advanced calculations, data blending, custom charts
   - Delivery: workshops, video tutorials, office hours, documentation

4. Support Model:
   - Self-service resources: FAQ, video library, templates
   - Office hours: weekly drop-in sessions
   - Request triage: self-serve vs analyst-assisted criteria
   - Champions network: power users who help peers

5. Governance:
   - Content management: naming conventions, folder structure, archiving
   - Quality: certified vs exploratory, review process
   - Usage monitoring: adoption tracking, optimization

6. Change Management: launch plan, communication, quick wins
7. Metrics: self-serve rate, time to insight, user satisfaction, data team leverage