Business model development

New digital products and services through the efficient use of data and innovative technologies

Our scope of services

Digitization leads to a fundamental change of companies, markets and customers. Through the use of digital technologies and the use of data, companies can review existing value structures and unlock new business opportunities in order to maintain their competitive advantage. Fraunhofer ISST helps you to systematically develop new business models on the basis of data.

Developments such as the shortening of product life cycles, interchangeability of products, falling prices and pressure on margins, internationalization and changing customer needs require a redesign of value creation processes and a rethinking of companies towards customer orientation. Technological trends such as the Internet of Things, data analytics and artificial intelligence or cloud and edge computing enable new digital products and services that promise competitive advantages, increased sales and higher customer loyalty. However, many organizations face significant challenges in the successful development of digital business models, especially with regard to strategic orientation or uncertainties in handling data. Therefore, a holistic and transparent view of a business model along the entire value chain is necessary in order to work out clear value propositions for customers and to ensure the long-term success of a company.


The services offered by Fraunhofer ISST include analysis of the business model environment, idea generation for finding new digital business models, design with regard to value propositions, creating value, delivering value and capturing value as well as prototypical implementation of the developed business model.

  • Business model development workshops
  • Canvas toolbox for systematic business model development
  • Analysis of customer challenges and development of possible solutions
  • Consideration and analysis of value creation based on the data value chain
  • Establishing necessary requirements for value delivery
  • Analysis of the cost structure and development of suitable value recording models

 

Industries

Digital business models contribute to solving demanding challenges and customer problems in various industries. Whether in industrial production, in the pharmaceutical industry, in the mobility and transport sector, in the tourism industry or in the construction industry, new digital products and services offer added value for customers in all economic sectors.

Here you will find a selection of approved application examples from the “Business model development” area of expertise from the past few years. Are you looking for more information? Just get in touch with us – our contact partners will be happy to answer your questions and talk to you.

 

Example 1:

DEMAND

Efficient data management for the implementation of data-driven business models

The “DEMAND” project developed concrete solutions for architectures, process models and tools for developing data-driven business models that can be used in practice. Based on the sovereign data architecture of the “International Data Spaces”, cross-industry approaches for data management were developed, for example in the area of integration design, data governance or data evaluation.

Internal project page

External project page

(demand-projekt.de)

 

Example 2:

Enterprise Lab for strategic innovation research

Digitization of clinical studies in the animal health sector

The “Enterprise Lab with Boehringer Ingelheim” aims to improve the process of clinical studies through the use of digital technologies. By developing appropriate IoT devices for study execution and building the system architecture to transfer the study data, a data analytics dashboard was implemented, improving authoritative study quality and achieving significant savings opportunities for each study.

Internal project page

 

Example 3:

Sealed Services

Infrastructure for the realization of industrial services in value networks

In the development and provision of data-based services, there has so far been a lack of a uniform language that guarantees efficient and secure networking of different companies at network level. The research project “SealedServices” is developing a cooperative value-added network with which Internet-based services can be independently developed and implemented by SMEs. Consistent and secure integration of data and services from various partner companies should be made possible.

Internal project page

External project page

(sealedservices.info)

 

 

List of scientific publications

AZKAN, Can, Markus SPIEKERMANN und Henry GOECKE, 2019. Uncovering Research Streams in the Data Economy Using Text Mining Algorithms. In: Technology Innovation Management Review, 9(11), S. 62-74.

SPIEKERMANN, Markus, 2019. Data Marketplaces: Trends and Monetisation of Data Goods. In: Intereconomics, 54(4), S. 208-2016.

AZKAN, Can, Lennart IGGGENA, Alevtina KROTOVA, Markus SPIEKERMANN und Boris OTTO Hrsg., 2021. Data Business in Ecosystems: Handbuch zur Entwicklung datengetriebener Dienstleistungen. ISBN 978-3-00-067300-9

AZKAN, Can, Lennart IGGENA, Inan GÜR, Frederik MÖLLER und Boris OTTO, 2020. A Taxonomy for Data-Driven Services in Manufacturing Industries. In: 24th Pacific Asia Conference on Information Systems. Dubai, 22. bis 24. Juni 2020.

AZKAN, Can, Frederik MÖLLER, Lukas MEISEL und Boris OTTO, 2020. Service Dominant Logic Perspective on Data Ecosystems: A Case Study based Morphology. In: 28th Euro-pean Conference on Information Systems. Marrakesch, 15. bis 17. Juni 2020.

BADER, Sebastian R., Can AZKAN und Ljiljana STOJANOVIC, 2020. Reference Architecture Models for Smart Services. In: Maria MALESHKOVA, Niklas KÜHL und Philipp JUSSEN, Hrsg. Smart Service Management: Design Guidelines and Best Practices. Cham: Springer Verlag, S. 115-131. ISBN 978-3-030-58181-7

AZKAN, Can, Lennart IGGGENA, Frederik MÖLLER und Boris OTTO, 2021. Towards Design Principles for Data-Driven Services in Industrial Environments. In: 54th Hawaii International Conference on System Sciences. Wailea, 5. Januar bis 8. Januar 2021.

AZKAN, C., IGGENA, L., KORTE, T., SPIEKERMANN, M. (2019): Datenwirt­schaft in Deutschland. Eine Analyse der Unternehmensgründungen in den Zukunftsfeldern »Data and Analytics« und »Artificial Intelligen­ce«. Fraunhofer-ISST Kurzbericht, Dortmund.

AZKAN, C., IGGENA, L., MEISEL, L., SPIEKERMANN, M., KORTE, T., OTTO, B., DEMARY, V., GOECKE, H., KROTOVA, A., LICHTBLAU, K., FRITSCH, M., BRESSER, P., BRETFELD, J., WEBER, D., KEIL, K., TRAUTMANN, B., FIEDLER, J. (2020): Perspektiven der Datenwirtschaft. Wirkmechanismen und Wertschöp­fung in Datenökosystemen. DEMAND Gutachten, Dortmund.

ALIU, O., AZKAN, C., BRESSER, P., BRETFELD, J., DEMARY, V., ENGELS, B., FIED­LER, J., FRITSCH, M., GELHAAR, J., GOECKE, H., IGGENA, L., KORTE, T., KROTO­VA, A., LICHTBLAU, K., LIS, D., MEISEL, L., MÜLLER, N., OTTO, B., RUSCHE, C., SCHEUFEN, M., SCHMITZ, E., SPIEKERMANN, M., THIELE, C., TRAUTMANN, B. (2019): Data Economy. Status quo der deutschen Wirtschaft & Hand­lungsfelder in der Data Economy. DEMAND White Paper, Dortmund.