Driving Efficiency, Visibility, and Innovation with Snowflake
PayU, Rapyd company, a global fintech leader, struggled to manage costs and gain visibility across a complex, multi-tool data stack. To address this, the CDO partnered with Seemore Data to implement AI-powered cost optimization and governance on top of Snowflake. Seemore acted as an AI teammate-monitoring usage, flagging inefficiencies, and driving real-time savings.
25% Cost reduction
within the first three months
50% faster warehouses
performance
Deeper visibility
into spend & performance
Simplified environment
by removing unused assets
Cost governance
through tagging & dashboards
Challenges solved for PayU, Rapyd company
400+ payment methods, millions payments daily, cutting-edge technologies
Netherlands, India, Latine America, Africa, Poland & Israel
1,000+ employees
6 teams, 23 engineers, 300% team growth in 3 years
PayU faced the complexity of managing data across regions, teams, and tools – Snowflake, Astronomer, Tableau, and DBT all playing critical roles. With such a distributed environment, budgets were difficult to control, inefficiencies were hidden, and ROI was hard to prove to leadership.
The Chief Data Officer needed both cost governance and visibility to justify investments in data initiatives and ensure the data team’s seat at the revenue table.
Partnering with Seemore Data, PayU implemented advanced cost optimization, AI-driven insights, and governance capabilities on top of Snowflake.
Seemore became a “data AI teammate” – continuously monitoring, identifying waste, and recommending real-time optimizations.
Through a series of optimizations – from reducing idle time and cleaning up orphan tables to migrating warehouses, refining scaling policies, and eliminating unused data flows, PayU streamlined its Snowflake environment. These initiatives not only boosted performance by 50% on key workloads and simplified the overall system, but also delivered-
$120K in total savings within just three months.
Seemore Data identified and flagged unused processes across the stack—such as redundant Tableau dashboards, stale DBT models, and idle compute resources. These inefficiencies were silently draining Snowflake credits and adding to operational overhead. By eliminating them, PayU was able to stop wasteful spend and improve overall platform performance.
With Seemore’s tagging and UI, PayU applied data governance principles across departments, assigning ownership and accountability.
Seemore’s AI agent continuously recommends warehouse resizing, consumption mode shifts, and optimizations – described by the PayU team as “like having a real (AI) friend who knows my needs and my data.”
Enabled the launch of Payment Insight, a fintech subscription product providing merchants with multichannel analytics, revenue predictions, and fraud detection – proving the ROI of the data team.
Seemore case studies
Yearly savings
Saved from one query
Data stack integration
Ilanit Rapaport, Director of BI & Analysis
Cost reduction
Run-time reduction
Instantly saved
Hannan Kravitz, Data Engineering Team Leader
a year saved
warehouse cost cut
to save by BI DW downsizing
Dror Yosef, Chief Data Officer
Assaf Bazar, VP Architecture & Data
Seemore resources
