How Splitit Gained Continuous Cost Control and Optimization with Seemore Data
Splitit, a global fintech innovator, turned to Seemore Data to gain control over its Snowflake costs and maintain continuous optimization. While cost reduction was the initial driver, Seemore quickly proved essential for sustaining cost savings, improving visibility, and enabling proactive cost control, something Splitit had struggled to achieve despite multiple refactoring cycles.
With a 15-minute onboarding and seamless integration into their Snowflake, dbt, and Tableau stack, Splitit saw an immediate 20% reduction in data costs, with ongoing month-by-month optimization opportunities that further reduce cost, along with clear visibility into cost spikes and inefficiencies. Now, they’re looking ahead to real-time cost alerts and AI-driven warehouse optimization, shifting
20% decrease
in Snowflake costs, and growing
15 min
Fast setup with seamless integration
Clear visibility
into cost spikes and budget drains
Optimized Tableau performance
Identified heavy, costly queries
Challenges solved for Splitit
Fintech – Online Payments
United States
83 employees
Cost optimization has always been a priority
November 2024
Before adopting Seemore Data, Splitit had already executed multiple Snowflake refactors to cut costs. But despite those efforts, cost spikes kept happening. With limited real-time visibility, deeper inefficiencies slipped through. The low-hanging fruit was gone. Sustained savings now required a proactive, automated solution to catch hidden issues early and control spend without manual effort.
Getting buy-in was easy once Seemore demonstrated early cost reductions and clear ROI, proving its impact on real, measurable savings. Onboarding was fast and seamless, with just 15 minutes to integrate Snowflake, dbt, and Tableau. The process was smooth, with hands-on guidance ensuring the team quickly adapted. Now, VP R&D, the Data Engineering team, and the BI team VP R&D, a Data Engineer, a BI expert, and a Data Analyst rely on Seemore for ongoing cost control and optimization.
Splitit already sees potential for R&D teams to leverage Seemore for deeper insights into operational databases in Snowflake, but they’re most excited about the upcoming AI-powered automation that will take cost control to the next level.
- Real-time cost alerts – AI-based anomaly detection to instantly flag unexpected cost spikes before they escalate.
- AI-driven warehouse management – Automated scaling to optimize warehouse resources, eliminating the need for manual adjustments.
- Query acceleration – Enhanced performance without added costs, ensuring smooth, cost-efficient operations.
With these improvements, Seemore will help Splitit move beyond one-time cost-cutting and into continuous, automated cost governance, unlocking higher-hanging fruit that would be impossible to manage manually.