Building information systems

Optimizing information systems in agri-food

Growing amounts of data require organizations in the agriculture and food sector to be flexible and to pro-actively integrate their data. But before you start storing, analysing, and presenting data, it is crucial to set your objectives, uncover bottlenecks in organizational processes and involve stakeholders.

Questions that may arise are: How to choose new technologies that are beneficial for your agri-food business? How to improve connections between systems, sensors, and devices by adopting standards? And how to comply to traceability and certification requirements in the food system? Wageningen Economic Research can help organizations answer these questions. We are a trusted party for process and data modelling in agri-food. We work for clients in and outside of The Netherlands and Europe to optimize information flows aiming for improved sustainability.

What we can do for you

Whether a new system is to be developed or new data sources will be connected to existing systems, interoperable information systems should address five key elements (Figure 1). The first two elements are aimed at the organizational and social aspects of the system: (1) improved processes and (2) alignment of the data ecosystem and stakeholders. The other three technical elements address what is needed to get valuable insights from data: (3) context-specific technology, (4) semantic interoperability based on information standards, and (5) the actual data exchange.

Figure 1: Five key elements for interoperable information systems
Figure 1: Five key elements for interoperable information systems

The data and information experts in the Data Information and project Organization (DIO) group at Wageningen Economic Research offer tailored services. Since 1990, the team has built extensive experience and knowledge in the agri-food domain. The experts provide a combination of technical, organizational, and social services during projects.

Contact us for a conversation about how to optimize agri-food processes, data, and information flows or for an analysis of new technology, involving stakeholders and end users and based on applicable standards.


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