Vopak

Vopak is an independent tank storage company that invests in new technologies that help achieve its purpose: storing vital products with care.

Vopak wanted to have a more clear understanding of and access to their data assets and associated metadata. They saw a data catalog as an effective pathway towards improving internal processes and unveiling relevant business insights.

Roel Pot is the data architect who leads the catalog initiative for Vopak.

“We’re improving our processes to become more efficient and to work more safe, and we believe that data and analytics can help us in a great way. But the next questions are, what data do I have? And where can I find it? And who is actually the person that I can go to if I have questions about the data?”

The Challenge

Vopak wanted to accelerate and broaden the understanding of data and metadata without unproductive manual steps.

• Data virtualization: Vopak’s data engineers and data modelers struggled to connect all the different source systems, independently of where they live or how well-maintained the systems are.

• Data discovery: Vopak’s data analysts needed a more efficient method to find and trust the data they needed to perform meaningful analysis.

An initial use case on energy consumption and reducing the company’s carbon footprint required bringing together a lot of different data sources and knowledge. This included sensor measurements, external weather data, along with information from Vopak’s operational systems.

The Solution

Vopak uses data.world catalog to gather all the information from sensor measurements and external weather data to accelerate energy consumption analyses. Vopak technical teams can easily manage all the data sources, making all the relevant data available to their data modelers and analysts. This approach has helped Vopak answer their initial business questions: saving energy, reducing the CO2 footprint, and optimizing energy-related costs.