DataBoost - Data to boost business in manufacturing industry

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 needs underlying the project and the current situation of businesses have been mapped to a certain extent in the preparatory project in the regions of Central Finland, Satakunta and South Ostrobothnia, as well as in other previous projects. Discussions have shown that 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.

A total of nine (9) pilot case studies were identified as development needs related to the use of data. As data literacy increases during the project, there will also be a need for new 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. In addition, the project will disseminate the knowledge gained from the measures on the potential of data analytics to companies and other organisations in the region and increase cooperation and networking between universities in the field of data analytics and artificial intelligence.

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.

The project is implemented as a group project by Jyväskylä University of Applied Sciences, Satakunta University of Applied Sciences and Seinäjoki University of Applied Sciences.

Project Manager:
Mika Rantonen, Principal lecturer Data-analytics and Artificial Intelligence
Tel: +358 40 716 7269
Email: [email protected]