Case Study: Convex Insurance achieves faster, scalable actuarial data democratization with Dataiku

Actuaries, Data Scientists, and Other Key Stakeholders Collaborate With Dataiku

Convex Insurance, a specialty insurer, needed a better way to democratize data across the business and improve underwriting decisions, especially within its actuarial reserving process. Before Dataiku, data was spread across warehouses, applications, and spreadsheets, making reporting slow and difficult to scale.

Dataiku, used alongside Snowflake, helped Convex centralize data, automate checks, and enable collaboration between actuaries and data engineers. The result was a dramatic improvement in speed: end-to-end reserving reporting fell from up to five months to one week, and refreshed actuarial reports now run in hours instead of days, all while supporting scale without added headcount.

Convex Insurance

Metul Parekh

Actuarial Director