Case Study
Revenue Analytics Rebuilt: $84M Validated, 5 Years of Pricing Debt Resolved
Clarivant rebuilt a cloud security platform's revenue analytics — validating $84M to 0.002% accuracy, fixing 15 silent bugs, and giving Finance direct control of pricing with no engineering tickets.
Clarivant migrated a cloud security platform's revenue analytics from five years of hardcoded Jinja macros to a governed Snowflake + dbt + Sigma stack. We validated $84M in revenue to 0.002% accuracy (5× better than target), uncovered 15 silent production bugs including a $472K undocumented rate anomaly, and replaced every engineering-dependent pricing update with Finance-owned Sigma input tables.
Key Results
The Transformation
The Challenge
The revenue team carried five years of pricing debt with no validation, no audit trail, and no self-service path for Finance. Hardcoded rates lived in Jinja macros since 2021 — every rate change required a developer to edit SQL, open a PR, and deploy. Three versioned macro variants existed with no changelog. An undocumented 118% price increase had been running in production since v3.1, creating a $472K gap discovered only through reconciliation. $84M in revenue calculations had never been cross-checked against an independent model.
Our Approach
Clarivant rebuilt the revenue foundation in three phases. First, pricing extraction: migrated all hardcoded rates into 5 structured seed tables with full rate history preserved via temporal lookup. Reverse-engineered the undocumented 2.185× multiplier from reconciliation data. Delivered the FY27 pricing model in a 9-day sprint across 9 sequential validated batches. Second, revenue validation at scale: ran legacy and new models in parallel across 8 product lines, achieving 0.002% variance on $84M with PASS/FAIL automation. Third, Finance self-service handoff: replaced 5 seed CSV files with 4 Sigma input tables Finance edits directly, with 7 dimension tables powering dropdown validation to prevent silent join failures.
The Outcome
The revenue rebuild delivered audit-ready accuracy across $84M and permanently removed engineering from the pricing update loop. Pricing updates moved from code deployments (days to weeks) to Sigma row edits (minutes). 15 silent production bugs discovered and fixed. Complete audit trail from raw source to final revenue number. FY27 pricing model live in 9 days. Revenue rebuild expanded into a 161-model dbt platform across 7 domains with 31 reusable macros.
Want similar results for your organization?
Get in touchReady to turn data into decisions?
Let's discuss how Clarivant can help you achieve measurable ROI in months.