Case Study: Clip achieves faster month-end closing with Muttdata and Databricks

Clip shortens month-end closing time by 80% with Muttdata

Clip, a leading financial ecosystem, faced significant challenges as it expanded into lending. Their loan data was fragmented across disconnected sources, resulting in manual, time-consuming performance monitoring and slow insight delivery for Finance, Risk, and Accounting teams. This setup led to delayed month-end closes and limited visibility. Partnering with Muttdata, the need for a single, governed data platform became clear.

Muttdata led a strategic migration to Databricks, building a modern data platform that automated pipelines using Airflow and a Medallion architecture. This unified fragmented data and created domain models for key lending areas. The solution consolidated data from five independent teams and merged over twelve spreadsheets, shortening the month-end closing process by 80% through automation and centralization.

Clip