1. SmartAdvantage – Intelligent Assets and Smart Data-oriented Services as a Source of Competitive Advantage
SMACC Research Seminar
Toni Ahonen, Teuvo Uusitalo, Susanna Kunttu & Matti Hyvärinen

2. Content Goal of the project Research themes and division of work
SmartAdvantage R&D ecosystem
Expected results
Conclusions and next steps

3. Goal
The main goal of SmartAdvantage is to enhance value creation opportunities for industrial ecosystems by developing novel approaches and business models for digitalised asset management.

4. Research themes and division of work
How can networked industrial companies develop and introduce new value-adding, data-based and knowledge-intensive services for supporting customers in the management of their assets in complex business and production environments?
WP1 Enablers, barriers and visions for digitalisation in machine and productions systems sector.
WP2 Data management and embedded intelligence in complex industrial systems through data-driven decision making.
WP3 Knowledge-intensive and integrated asset management business models.
WP4 Testing the methods and tools in case studies.

5. SmartAdvantage R&D ecosystem

6. Expected results
managerial guidebook for exploiting the potential in digitalisation for asset management
company case-specific development, directed by generic objectives and objectives to spread out the results for a variety of applications
approaches, methods and tools to digital asset management services;
publishing research results in project seminars, conferences and in scientific and professional journals according to open access principles;
dissemination of the results through teaching and via commercial assignments;
disseminating the results among the SMACC company network;
research material for doctoral dissertations; and
new, prioritized prospects for forthcoming research

7. Conclusions & Next steps
SmartAdvantage encourages and supports companies to take a broad view on digitalised asset management and to develop their service portfolios by considering the following levels:
business models,
asset management approaches,
data-driven services, and
information management.
Next steps
roadmaps for digitalisation
identification of the barriers and enablers
utilisation of previous research results in case studies – tight collaboration between research institutes and companies

8. Thank you for your attention!
Any questions?