Transforming Energy Distribution with Data Virtualization: A VTTI Case Study

VTTI, a global energy storage services company, was faced with the challenge of managing and utilizing massive amounts of data generated from its operations. With over 10 million cubic meters of storage capacity located across five continents, the company loads or discharges around 11,000 vessels, trucks, and trains globally every year. This scale of work provides VTTI with unique insight into energy trading and product flows. However, the company needed a way to generate insights from this data and make it readily and effectively available to business stakeholders. The data was also crucial for monitoring pumps and pipes, as well as for engaging in predictive and prescriptive maintenance of the entire infrastructure. VTTI was in need of a solid analytical foundation that could serve use cases in the field of predictive and prescriptive analytics to better manage customer expectations and enable customers to better manage expectations with the rest of the value chain.

Founded in 2006, VTTI B.V. is a global provider of energy storage services. The company stores and distributes gasoline, distillates, chemicals, hydrogen, and fuel oil from petroleum holding terminals. VTTI serves customers worldwide and is one of the world’s fastest-growing independent storage providers for energy and other essential products. With a focus on innovative, sustainable solutions that reduce environmental and carbon footprints, VTTI's terminals are among the most advanced in the world. The company has a combination of ultra-modern greenfield terminals and upgraded facilities, and it loads or discharges around 11,000 vessels, trucks, and trains globally every year.