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Financial services · Databricks

Storebrand: Delivering analytics and ML innovation at speed and scale

Public case study · not a Metric Oak engagement

Platform cost reduction
55%
Increase in sales
9%
Increase in NPS score
29%

What happened

The story in brief

A Norwegian pension and asset manager wanted personalized, data-driven customer interactions but was held back by costly, complex on-premises infrastructure. Moving analytics and machine learning to Databricks let it ingest diverse data at scale and grow sales through better targeting.

How it compares

  • 55% platform cost reduction, against a median reported cost reduction of 60% across 19 financial services results.
See the full financial services benchmark

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Related insights

Frequently asked questions

What results did Storebrand report?

Storebrand reported 55% platform cost reduction; 9% increase in sales; 29% increase in NPS score, according to its customer story published by Databricks.

Which platform and technologies did Storebrand use?

Storebrand used Databricks on Azure, including Delta Lake.

How do these results compare with other financial services programs?

55% platform cost reduction, against a median reported cost reduction of 60% across 19 financial services results.

Source

Customer story published by Databricks: Delivering analytics and ML innovation at speed and scale (opens databricks.com in a new tab) on databricks.com. Figures as published, retrieved 27 October 2026. The summary above is Metric Oak's own. This is not a Metric Oak engagement.

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