Case Study: Shift achieves faster, more reliable customer insights with Databricks

Changing the way Australian businesses access capital

Shift needed a faster, more reliable way to access and process growing volumes of bank transactional data from disparate sources so it could build a consolidated, customer-focused view of business finance needs. Using the Databricks Data Intelligence Platform, Shift aimed to simplify a traditionally burdensome lending experience and improve its ability to understand customers at scale.

Databricks helped Shift centralize data into a unified, scalable infrastructure and build back-end data pools with proprietary classification models and machine learning. The result was greater automation, reduced processing times, improved data reliability, and measurable efficiencies, flexibility, and cost savings for customers, while also shortening time-to-market for new data models.

shift

James Spence

Product Strategy Manager