6-Month Roadmap
Phase 1 (Week 1-4): Planning
- Inventory data sources
- Collect requirements from stakeholders
- Run POC and select platform
Phase 2 (Week 5-12): MVP
- Install data catalog platform
- Connect 3-5 core data sources
- Define 20-30 key business terms
- Pilot with 5-10 users
Phase 3 (Week 13-20): Expansion
- Connect all data sources (20-30)
- Implement lineage tracking
- Auto-classification system
- Roll out to 100+ users
Phase 4 (Week 21-26): Optimization
- Performance tuning
- Establish governance policies
- Training programs
- Continuous improvement
Success Metrics (KPIs)
- Adoption: 80%+ MAU from data teams
- Quality: 80%+ datasets with descriptions
- Productivity: Data discovery time 3 days โ 5 min (99% reduction)
- Compliance: 100% PII tracking
ROI Calculation Example
Costs (Year 1): $220,000 (licenses, infrastructure, implementation, operations)
Savings (Year 1): $750,000 (search time, duplicate work, data quality, compliance)
ROI: 241% | Payback: 3.5 months
Best Practices
- โ Automate metadata collection
- โ Start small, expand gradually
- โ Collect user feedback regularly
- โ Measure and improve quality
- โ Invest in user training
- โ Don't try to be perfect from day one
- โ Don't focus on technology over UX
- โ Don't make it a one-time project
Common Pitfalls & Solutions
- Low adoption: Find quick wins, grow champions
- Poor quality: Automate, show quality dashboard
- Slow search: Optimize Elasticsearch
- Governance resistance: Gradual introduction, flexibility
๐ Congratulations! You've completed the Data Catalog guide!