Adaptfy is a strategic partnership between SHV Holdings and Metyis to establish global Data & Analytics (D&A) capabilities for SHV. We use data, advanced analytics & technology to create value through optimizing business practices and processes throughout the value chain. Using analytical insights is not only about understanding the drivers of performance but is equally about understanding what response mechanisms (actions) deliver what kind of results at a more granular level.

There is no such thing as a typical day at Adaptfy. We work in and with the entire family of SHV companies — from SHV Energy, an energy provider and distributor, to Nutreco, an animal nutrition and aqua feed company. We cover a variety of fast-paced projects.  

We are a close-knit, eclectic group of professionals, e.g. engineers, data scientists, and former business executives, with an entrepreneurial mindset and drive to make a difference; and together we represent multiple nationalities and cultures. Our culture is very collegial and meritocratic: your ambition determines your success!



Analytics

Business Development

Data

Data Center

Enterprise

Enterprise Software

Adaptfy

Adaptfy's headquarters in Amsterdam, Netherlands

This department designs and develops technical solutions and infrastructure.

Engineering

This department focuses on data analysis, engineering, and the application of data science methodologies to support decision-making and innovation.

Data Science and Engineering

The Data Engineering and Analysis team at Adaptfy is responsible for designing and implementing robust data infrastructure, ensuring the seamless collection, processing, and analysis of data across diverse SHV companies. They leverage advanced analytics and data science techniques to generate actionable insights that optimize business practices and enhance overall performance. By collaborating closely with various stakeholders, the team aims to drive strategic decision-making and foster a data-driven culture within the organization.

Data Engineering and Analysis

This department analyzes and interprets complex data to inform strategic decision-making and improve business performance.

Business Intelligence

This department oversees project planning, execution, and delivery to ensure objectives are met efficiently and effectively.

Project Management

This department oversees the strategy, development, and lifecycle of products to ensure alignment with market needs and company goals.

Product Management

This department focuses on leveraging data analytics and machine learning to drive product development and business insights.

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Other teams

Data Science and Engineering

Data Engineering and Analysis

Business Intelligence

Project Management

Product Management

Data Science Division