Problem
A Fortune 500 Vacation Rental Marketplace operated across hundreds of geographies, processing billions in bookings, host payouts, service fees, and marketing credits. Finance leaders closely monitored monthly and quarterly flux - yet variance analysis remained an inconsistent process. Analysts stitched together explanations from scattered reports. Narratives varied from person to person, creating confusion when attributing drivers like FX, volume, or campaigns. The missing link was a way to automate variance analysis end-to-end: quantifying changes, attributing drivers, and producing consistent narratives in real time.
Natural Language Variance Queries
Finance teams prompted “Compare this month’s expenses with the 12-month average and flag accounts with >5% change”, and Cimba surfaced spikes with contextual explanations.
Driver Attribution
Prompts like “Explain why service fee revenue grew 6% in Q2 vs Q1” delivered structured breakdowns: Booking volume +4%, ADR up 2% in Tier-1 cities, FX tailwind +0.5% uplift.
Consistent Playbooks
Flux logic was encoded as playbooks, ensuring teams in Europe, Asia, and the US explained variances the same way - consistent, audit-ready narratives across geographies.
Impact
Clarity, Consistency, and Speed
Cimba made flux analysis a real-time finance capability - turning unexplained swings into structured narratives that executives and auditors could trust.
~70%
Faster Flux analysis, with every report following standardized rules - reducing review friction and audit burden.
30-40%
Time saved by Analysts, redirecting effort to strategic finance insights.
