Case Study: Aggreko achieves 30,000 hours saved and 10% service material cost reduction with Databricks

Bringing power to the people with data-driven insights

Aggreko, a global supplier of temporary power and temperature-control equipment operating in over 265 locations, faced fractured data silos and a need to turn IoT and operational data into timely, trusted insights to optimize supply chain, logistics and customer service — while also meeting ambitious net-zero and emissions-reduction goals.

Aggreko adopted the Azure Databricks Lakehouse with Delta Lake to unify data, automate ETL and enable collaborative data science and ML for real-time asset monitoring, predictive maintenance and demand forecasting. The platform cut time-to-insight, delivered over 30,000 hours of productivity savings, reduced service material costs by 10% and achieved 140% of its cost-reduction target, while laying the foundation for improved customer-facing forecasting and progress toward its sustainability targets.

Aggreko

Elizabeth Hollinger

Director of Insight