Case Study: LendStreet centralizes data management and improves underwriting with Panoply

How Financial Tech Company LendStreet Embraces Financial Data

LendStreet is a consumer financial health platform that offers loans to assist Americans who are deeply indebted. As its lending operation grew more complex, the company was pulling data from its own systems and third-party partners, and its production PostgreSQL database was buckling under heavy queries while external data sat in Excel spreadsheets.

LendStreet implemented Panoply as its central data warehouse and used Tableau on top of it to keep data queryable and ready for analysis. With Panoply, the team could automate ETL, create views, and combine sources such as Google Analytics, PostgreSQL, accounting data, and nightly files from S3, which reduced maintenance work and made real-time reporting possible. The company reported better credit ratings, more approved applicants, and a much lower loss rate because of its predictive data model.

LendStreet

Taj Sangha

Chief Data Steward and Product Manager