Case Study: Petrol achieves fast, scalable, maintenance-free analytics with Snowflake

Petrol Delivering Superior, Data-Driven Customer Service

Petrol d.d., a 70-year-old Slovenian energy company with over 5,000 employees and a retail network of 500 service stations, needed to modernize its BI to stay competitive. Its on‑premises data warehouse was slow, required manual clustering and tuning, produced inaccurate results, and couldn’t support historical or predictive analytics — limiting fast, reliable access to the data the business needed.

Petrol migrated to Snowflake’s cloud data warehouse (implemented in about four months with DataMerlin and partner IN516HT), gaining separated storage and compute, automatic scaling and clustering, and near‑zero maintenance. The move delivered dramatic performance improvements (queries that once took hours now run in minutes or seconds), eliminated manual indexing and tuning for ~98% of queries, unlocked historical data for analytics and predictions, reduced space and operational costs, and enabled easy, cost‑controlled scaling and database cloning for development or testing.

Petrol

Amir Komic

Data Warehouse Architect