Case Study
Analytics Platform Modernization: 377 Legacy Objects to 51 dbt Models in 45 Days
From 377 legacy objects to 51 automated models under 45 days—navigating Okta authentication constraints and platform license expiration with 606% Year 1 ROI.
Clarivant migrated a cloud security platform's product analytics from 377 legacy BI objects to a modern Snowflake + dbt + Sigma stack in under 45 days—navigating Okta authentication constraints and platform license expiration—delivering 86% complexity reduction, 24-48X faster deployments, and 99.9996% accuracy with zero downtime.
Key Results
The Transformation
The Challenge
The product team faced an urgent analytics modernization with significant technical and timeline constraints. The legacy BI platform license was expiring in 45 days with no renewal option — creating a hard cutover deadline with zero margin for delays.
- 377 interconnected legacy BI objects (14,652 lines of SQL) with zero automated testing — tangled dependencies built up over years, requiring careful migration planning to avoid breaking downstream reports
- Okta authentication constraints meant we couldn't use dbt Cloud (the standard choice) and instead had to build on Snowflake's built-in dbt Core — adding architectural complexity and limiting some features we'd normally rely on
- Dashboard refresh cycles consuming 3-4 hours per run, with 108 product analytics charts requiring complete reconstruction in a new BI platform
- Zero tolerance for downtime or data accuracy issues — the product team made daily decisions based on these dashboards, and any gap in availability would directly impact product roadmap planning
- No documentation existed for the legacy system — nobody on the current team had built the original objects, and the developer who had was long gone
Our Approach
We architected and delivered a modern analytics foundation under tight constraints, working in three parallel streams to compress the timeline:
Modern Data Architecture with Technical Constraints:
- Designed layered dbt architecture using Snowflake's built-in dbt Core (navigating Okta limitations): 51 production models replacing 377 legacy objects with clear data lineage (staging → intermediate → marts)
- Reduced total codebase 75% (14,652 → 3,694 lines) using 21 reusable macros — we identified repeated SQL patterns across the legacy objects and consolidated them into parameterized macros, eliminating code duplication while maintaining Snowflake dbt compatibility
- Mapped every legacy object to its downstream consumers before writing a single line of new code — this dependency map became the migration roadmap and ensured nothing was dropped during the transition
Quality & Testing Framework:
- Implemented 68 automated tests ensuring continuous data quality with 99.9996% accuracy across complete dataset validation
- Built comprehensive validation comparing new Sigma dashboards against legacy BI system — we ran both systems in parallel for two weeks, comparing output row by row, to build confidence before cutover
- Created automated daily refresh pipelines that replaced the 3-4 hour manual refresh cycle
Product Analytics Migration:
- Reconstructed 108 product analytics charts in Sigma, optimized for performance and usability — each chart was validated against its legacy equivalent with the product team confirming business logic
- Delivered sub-3-second dashboard load times (from 60+ seconds) with zero downtime during platform cutover
- Completed full migration under 45 days — meeting the critical license expiration deadline with a week of buffer for final validation and team training
The Outcome
The constrained platform migration delivered exceptional results — under deadline and exceeding quality standards:
Engineering Excellence Under Constraints:
- Delivered complete migration under 45 days (377 objects → 51 tested, documented models) despite Okta/dbt Core constraints, achieving 86% complexity reduction
- Zero code duplication with 100% test coverage on critical models (68 automated tests running daily)
- Successfully navigated Snowflake built-in dbt Core limitations while maintaining dbt best practices — the architecture was designed so that migrating to dbt Cloud later requires configuration changes, not code rewrites
Performance & Business Impact:
- 24-48X faster deployments (3-4 hours → 5-10 minutes) saving 950+ hours annually in manual maintenance
- 606% Year 1 ROI ($150K annual savings on $21K investment) with dashboard performance improving 20X
- 99.9996% validation accuracy maintaining product team confidence throughout zero-downtime cutover — the team didn't lose a single day of analytics access during the transition
Scalability:
- Reusable infrastructure foundation saving 15-20 days in Phase 2, with the macro library and model architecture directly applicable to new data domains
- Eliminated manual quarterly date updates that had consumed 200+ hours/year of analyst time
- Platform architecture ready for migration to dbt Cloud when Okta constraints are resolved
What the Client Says
The migration delivered exceptional results: 606% Year 1 ROI, 90% faster dashboards, and 0.002% variance on revenue calculations—2,500× better than industry standard. What used to take 8-16 hours quarterly now runs automatically. The engineering rigor and speed of delivery exceeded expectations. Most importantly, we now have board-ready financial analytics we can trust.
Finance & Analytics Leadership Team
Directors, Finance & Product Analytics, Global SaaS Company (anonymized)
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