Building a Snowflake-Native Lending Intelligence Platform with Streamlit for Real-Time Portfolio Analytics
Client Organization
The client is a rapidly growing digital lending organization managing loan origination, servicing, collections, and customer acquisition across multiple lending products. While the organization had already modernized its data foundation using Snowflake, dbt, Airflow, and HubSpot CRM, business users still relied on fragmented dashboards, manual SQL queries, and disconnected reporting tools to monitor lending operations.
To improve operational visibility and accelerate decision-making, the client partnered with Sigma Infosolutions to build a unified, Snowflake-native analytics platform powered by Streamlit in Snowflake. The objective was to provide business teams with interactive operational applications that could securely access trusted lending data while supporting future AI-powered analytics and workflow automation.
Project Brief
The client wanted to transform its Snowflake data warehouse from a reporting repository into an interactive operational intelligence platform for lending teams. Although trusted data pipelines had already been established using dbt and Airflow, business users lacked intuitive applications for exploring portfolio performance, borrower activity, underwriting effectiveness, collections, and marketing attribution.
Sigma Infosolutions designed and implemented a Snowflake-native Lending Intelligence Platform using Streamlit in Snowflake that consolidated lending operations, CRM, and marketing data into role-based applications. The solution enabled growth, underwriting, servicing, collections, and executive teams to access real-time lending intelligence through interactive dashboards, borrower workbenches, and AI-ready workflows without moving sensitive financial data outside Snowflake.