Assess · 2 weeks
Data Platform Maturity Assessment
A structured evaluation of your data architecture across six dimensions. You get a maturity score, platform recommendation, and a phased migration roadmap.
View framework on GitHubWeek 1 — Discovery
- Current data architecture inventory — warehouses, lakes, ETL pipelines, BI tools
- Data governance review — cataloging, lineage, quality, access controls
- Data sources and integration patterns — batch, streaming, API
- Team and skills assessment — data engineering, analytics, ML capabilities
- Cost analysis — current platform spend and utilization
Week 2 — Analysis & Roadmap
- Maturity scoring across 6 dimensions — ingestion, storage, transformation, governance, analytics, AI-readiness
- Platform recommendation — Databricks vs Fabric vs Snowflake (or hybrid)
- Migration complexity assessment — workload-by-workload effort estimates
- Target state architecture — lakehouse, medallion architecture, governance layer
- 90-day roadmap and executive presentation
Deliverables
What you walk away with
Data Platform Maturity Report
20-30 page PDF with current state analysis, maturity scoring across 6 dimensions, and findings.
Maturity Scoring Matrix
Scored rubric — ingestion, storage, transformation, governance, analytics, and AI-readiness.
Platform Recommendation
3-5 page brief comparing Databricks vs Fabric vs Snowflake for your specific requirements.
Target State Architecture
Lakehouse architecture with medallion layers, governance, and integration patterns.
Migration Roadmap
Phased plan with effort estimates per workload — ready for your data leadership team.
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