Vestas: Leveraging Dataiku for Sustainable Energy Solutions and Cost Reduction

Vestas, a global leader in sustainable energy solutions, faced a complex challenge in optimizing their shipment patterns to save costs. The Service Analytics team at Vestas had to consider not only external, customer-facing products, but also internal stakeholders across the Operations, Finance, Supply Chain, and Commercial teams. All of these teams worked together to answer big questions for the company such as how and when to deliver a turbine part from point A to point B. The team recognized that a more robust data operation could help them simplify and improve logistical challenges. They understood that data science-based solutions in predictive asset maintenance, field capacity planning, inventory management, demand and supply forecasting, and price planning would provide critical support to the internal customers of Vestas. However, until that point, the data team ran a traditional business intelligence (BI) based analytics operation, querying BI-dashboards, deriving insights, and building data products in a less automated manner.

Vestas is a global leader in sustainable energy solutions, with 29,000 employees working to design, manufacture, install, develop, and service wind energy and hybrid projects all over the world. With over 160 GW of wind turbines installed in 88 countries, Vestas has already prevented 1.5 billion tons of CO₂ being emitted into the atmosphere. The Service Analytics team at Vestas plays a key role in keeping the company at the forefront of a sustainable future, enabling business decisions and processes with data products and insights across the entire value chain.