In recent years, the digitalisation of society has developed rapidly in many sectors, including manufacturing. This has led to an increase in the amount of data collected by companies, but their ability to use data in their business varies widely. However, data as such is not a raw material that adds value unless it can be processed. Data is often compared to crude oil, which serves as a raw material and is refined to produce new products for industry.
The companies have a large number of data-generating devices and large amounts of unused data, but lack the necessary understanding of data exploitation and the potential of data-driven methods. There is a need to provide empirical and sufficiently practical information to raise awareness among companies and other stakeholders.
During the project, there will be several pilot cases, which will serve as the content raw material for the development work of the project, as they will be used to develop new approaches for the exploitation, visualisation and demonstration of data analytics.
The project objectives
The project will achieve the following operational performance objectives:
Objective 1: New approaches to the exploitation of dark data through data analytics are identified and piloted to support the green transition of businesses with new data-driven products and services.
Objective 2: Increased knowledge of data analytics methodologies and the potential of data analytics in manufacturing industry companies and other organisations.
Objective 3: Higher education institutions have developed their data analytics skills and capabilities to work collaboratively to support research and development, further education and training in support of their respective domains’ strategies.
Objective 4: Developed national and international cooperation networks support the implementation of RDI activities promoting digitalisation and its uptake, ensuring their effectiveness and sustainability.
10/2023 – 9/2025
The project is co-funded by the European Union.
The project is implemented as a group project by:
- Jamk University of Applied Sciences, Institute of Information Technology
- Seinäjoki University of Applied Sciences
- Satakunta University of Applied Sciences
- LS Cargo Logistics
- Ensto Finland
mika.rantonen(at)jamk.fi, p. +358407167269