Case Study: Fi Money lowers analytics total cost of ownership by 70% with LaunchDarkly
Key results
The challenge
Fi Money's analytics team was strained by manual data requests, and the fintech faced compliance and data-residency requirements alongside runaway compute costs as event volumes scaled.
The solution
Fi Money adopted LaunchDarkly Product Analytics with a native Snowflake integration, letting product teams build funnels and track variations in a self-serve way. Pilot implementation took under one week.
“The true value of LaunchDarkly is that our PMs, PMMs, and designers can look at their funnels of interest and their events of interest almost in a self-serve, do-it-yourself manner, without getting blocked by analytics, prioritization, and bandwidth.”
ATAuro Lakshman TaduryAssociate Director, Program Management, Fi Money
The results, in context
Fi Money reduced its total cost of ownership by 70%, eliminating runaway analytics costs while giving product teams faster, self-serve access to insights. The platform handles over 3 billion product events every 15 days.