Case Study: Storebrand boosts sales and cuts platform costs with Databricks

Delivering analytics and ML innovation at speed and scale

Storebrand, a leading Norwegian financial services firm serving millions, wanted to make data analytics and machine learning central to customer engagement but was held back by complex, costly on‑premises infrastructure and fragmented analytics workflows. Teams struggled to explore diverse datasets, scale projects, and collaborate effectively, limiting the company’s ability to deliver personalized recommendations and robust fraud detection.

Partnering with Cognizant and adopting Azure Databricks (with Delta Lake and Azure ExpressRoute) unified data, simplified ETL, and provided governed, collaborative notebooks for rapid prototyping. The platform cut platform costs by about 55%, enabled next‑best‑action recommendations across 45 products (driving a 9% sales lift and 29% higher customer satisfaction), sped claim handling from weeks to a day in some cases, and improved fraud detection and time‑to‑insight.

Storebrand

Jeroen van Zeeland

Head of Analytics