Case Study: BerryBox Achieves 90% Faster Analytics Rollout with Databrain

A Databrain Case Study

Preview of the BerryBox Case Study

BerryBox Slashes Analytics Rollout Time by 90% with Databrain

BerryBox, an insure-tech startup, faced significant analytics bottlenecks while trying to embed Power BI dashboards into their SaaS application. The process was plagued by cumbersome multi-source data integration, risky deployment processes, a steep learning curve for analysts, and slow vendor support. These challenges threatened their growth and diverted engineering resources from their core product development, leading them to seek a solution from vendor Databrain.

Databrain implemented its analytics platform on Amazon EKS for BerryBox, enabling a streamlined deployment with one-command Helm installs, visual and code-level modeling with SQL, and live cross-source joins. This solution slashed the analytics rollout time from an estimated three months to just three weeks, a 90% improvement. The implementation saved BerryBox approximately $250,000 in costs and reclaimed six months of engineering effort, allowing the team to refocus on their primary mission.


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BerryBox

Arvind Iyer

Lead Engineer


Databrain

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