Project
DataBoost - Data to boost business in manufacturing industry
Project sponsors
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: mika.rantonen@jamk.fi
Project results
The aim of the VauhtiData project – Data for momentum in manufacturing
industry business – was to develop the ability of manufacturing companies and
companies providing services to them to utilize data in their business
operations. A preparatory project preceding the main project had revealed that
companies lacked the necessary understanding and expertise to utilize data in
their business operations. In order to produce sector-specific examples and
empirical and practical knowledge, the project piloted data analytics and
artificial intelligence solutions based on data from partner companies, known
as pilot cases. A total of 14 pilot cases were implemented, some of which were
defined in the preparatory project and some during the VauhtiData project as
understanding and expertise developed.
Information about the VauhtiData project's activities, data utilization
methods, technologies, and opportunities was communicated through online and
magazine articles on several different channels. Articles and writings related
to the project's piloting were published on the publication platforms of
universities of applied sciences and in a separate publication collection. The
collection 'Utilizing Data Analytics in Manufacturing Companies'
contains 13 articles covering a wide range of topics.
In addition to written articles, the project results and data
utilization were communicated at events and in social media posts. The project
was presented to representatives of the target groups at several events, and
information about the project was also shared at meetings. The hybrid event
'Data Boosting Manufacturing Business' organized by the project
consortium enabled companies to meet data analytics experts, discuss the topic,
and ask questions. The event was held simultaneously at all universities of
applied sciences, with the option of remote participation. In addition, social
media posts about the project's activities were actively made on LinkedIn,
Facebook, and Instagram.