Case Study: Facteus achieves 20x faster time-to-insight with Databricks' unified data analytics platform

A Databricks Case Study

Preview of the Facteus Case Study

Empowering customers to unlock new product innovations

Facteus (formerly ARM Insight) is a financial‑services data intelligence provider that was constrained by legacy mainframe systems, siloed data teams, and resource‑intensive processes. These limitations made it slow and difficult to extract, scale, and analyze large transaction volumes—processing 100 billion transactions could take weeks—and raised challenges around PCI compliance and distributed analytics.

By adopting the Databricks unified analytics platform on AWS (using Delta Lake, MLflow, auto-scaling clusters, and collaborative notebooks), Facteus consolidated pipelines, accelerated model development, and retained full control over sensitive data. The result: dramatically faster onboarding and time‑to‑insight (up to 20x), cross‑team productivity gains, and the ability to deliver ML‑powered data products at scale—turning weeks of work into hours.


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Facteus

Jonathan Chin

Head of Product and Co-founder


Databricks

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