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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 30-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 from reactive cost management to automated, ongoing governance.
The Challenge
Splitit has always been a cost-conscious company, successfully executing multiple refactoring cycles to cut Snowflake costs. However, despite these efforts, continuous cost control remained out of reach. Cost spikes kept occurring, and limited real-time visibility made it difficult to pinpoint inefficiencies before they escalated.
They had already tackled the low-hanging fruit, but sustaining those savings required a proactive, automated approach—one that could identify hidden inefficiencies, prevent unnecessary spend, and ensure ongoing cost control without manual intervention.
Quick Wins with Seemore Data
✔ 30-minute onboarding – Fast setup with seamless integration into Postgress, Snowflake, Airflow, Dbt, Tableau
✔ Immediate 20% decrease in Snowflake costs—and growing
✔ Clear visibility – Instant insights into cost spikes and budget drains.
✔ Optimized Tableau performance – Identified heavy, costly queries
About Splitit
- Industry: Fintech – Online Payments
- Headquarters: United States
- Team Size: 83 employees
- Data Stack: Postgres, Snowflake, Airflow, dbt, Tableau
- Go-live with Seemore: November 2024
- Cost-Conscious Culture: Cost optimization has always been a priority
- Unique Challenge: Needed continuous cost monitoring and real-time visibility to control Snowflake spend effectively, despite previous cost-cutting efforts
Onboarding & Adoption
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 30 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.
Looking Ahead: Smarter, Automated Cost 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.
