Uni partners with Snowflake to boost data-driven strategies

Uni, a next-generation fintech firm, has adopted Snowflake's AI Data Cloud to enhance its data platform, facilitating the launch of new applications and improvements in customer lifecycle management.

Uni has integrated Snowflake's AI Data Cloud, centralising its data to enable rapid decision-making for leadership and business teams, streamlining risk management, and developing personalised customer-centric products. This collaboration has supported Uni's efforts in the credit industry, allowing the company to experiment and test new services effectively.

Snowflake's platform offers a secure, unified architecture that supports various data workloads at scale. This integration permits Uni to derive insights from credit bureau and risk rating reports, performing end-to-end analytics centrally instead of relying on disparate data collation. The efficiency improvement reduces the time required from multiple days to less than an hour, enhancing customer satisfaction through swift feedback responses.

With over 70 microservices in credit management, each possessing its own database, Uni's new data architecture supports efficient data pipeline setups for new applications in less than five minutes. This improvement eases the engineering workload, allowing focus on higher-value functions, and enables Uni to manage reconciliation and regulatory reporting securely in real-time. Utilising this system, Uni can better understand customer preferences and refine user experience.

Looking ahead, Uni plans to explore Snowpipe Streaming for improved operational efficiency and cost benefits. Additionally, Snowflake Data Clean Rooms capabilities are envisaged to streamline data management with partners and across various departments like marketing, engineering, and HR. This approach aims to create a secure data-sharing model for user pattern identification, enhancing cohort development for optimised marketing communication and product innovation.

The integration of AI for anomaly detection is also under consideration by Uni to identify and track financial irregularities. This proactive approach seeks to safeguard customer assets and reduce fraudulent activities.

Abhra Dasgupta, Director of Engineering at Uni, commented on the collaboration, "We have been working with Snowflake since our inception, and today, all our strategic business decisions are data-driven. With the AI Data Cloud, we can share data across different platforms securely and easily, driving innovation and faster go-to-market. We now have an enriched credit risk model helping us get deeper insights into our customer behaviours for our offerings, like the Paychek, PowerUp Money, NX Wave Credit Card, and other credit products. We also do our entire risk analysis and underwriting using Snowflake as our single data source."

Vijayant Rai, Managing Director—India, Snowflake, stated, "The fintech industry in India relies heavily on data and insights to drive business growth. We are proud to have shaped Uni's data strategy and collaborated on many of its first launches in the market. Snowflake's AI Data Cloud platform has helped Uni be at the forefront of innovation and customer experience."