Digitization offers industrial companies a wide range of opportunities to network products and services into so-called data-based value creation models in order to realize economic added value for suppliers and customers.
These opportunities face various challenges, particularly due to technical and organizational complexity. Small and medium-sized enterprises (SME) in particular face the challenge of identifying, developing, commercializing and economically operating scalable data-based business models.
The "data-driven business" working group supports you with a 360° navigator in the development, launching and operation of data-based value creation models.
Togehter we work out how you can achieve a reducation in complexity and at the same time an increase in customer value. The focus is on the profitability and scalability of your new digital business model.
Cooperation with TH OWL
The development of the business unit Data-Driven Business is funded within the cooperation program Universities of Applied Sciences of the Fraunhofer-Gesellschaft, Munich. In this context, Fraunhofer IOSB-INA cooperates with the Department of Economics of the Technischen Hochschule Ostwestfalen-Lippe, represented by Professor Dr. Tobias Schäfers. This cooperation makes it possible to combine the technological competence of IOSB-INA and the business management competence on the part of the TH OWL.
In this context, Fraunhofer IOSB-INA provides many years of expertise on concrete technical application possibilities of data-based value creation, for example in the areas of intelligent networking, AI-based data evaluation, analysis and monitoring, and user-friendly design of technical systems. The Department of Economics at TH OWL (Prof. Dr.. Tobias Schäfers) provides expertise in the empirical analysis of supplier- and customer-side processes, the use of established models for the analysis of customer value and for the strategic planning of business processes, and the organizational design of hybrid service bundles.
Our range of services – from potential analysis to implementation:
- Potential analysis
- Concept studies
- Solution portfolio for concrete use cases of data-based value creation
- Scientific support
- Support during the entire realization with end-to-end solutions