Case Study: Wilhelmsen achieves near-real-time operations and 60% lower TCO with Snowflake

A Snowflake Case Study

Preview of the Wilhelmsen Case Study

Snowflake Helps a Maritime Business Operate in Real Time

Wilhelmsen Ships Service, the world’s largest maritime network with over 21,000 employees across 2,200+ locations, needed to modernize a 15-year on‑premises analytics stack. Rapidly growing operational and IoT data left users waiting 12–14 hours for transactional reports and receiving only monthly sales reports, blocking timely decisions and the company’s ambition to deliver new data-driven services.

Wilhelmsen migrated to Snowflake on Azure and rebuilt reporting with Power BI, leveraging Snowflake’s scalable compute/storage separation, ANSI SQL compatibility, native semi-structured support and enterprise security. The move reduced TCO by 60%, cut report generation to near real time, increased operational efficiency by about 30%, enabled faster predictive analytics and new digital products, and freed teams from infrastructure maintenance to focus on customer value.


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Wilhelmsen

Christian Løset

Head of Technology & Strategy, Data & Analytics


Snowflake

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