The Digital Business Engineering Method

The Digital Business Engineering Method

Many companies have realized that digitization offers new business opportunities and that data has become a strategic resource. But according to a survey of McKinsey1 more than half of all companies complain that the current organizational structure of the company does not fit the requirements of digitization and that also information and communication systems (IC systems) are missing in order to seize the opportunities. In about 40 percent of all cases poor data quality, lack of leadership by management and lack of expertise are transformation barriers. Finally, lack of ICT skills hinders the implementation of digital transformation measures.

Together with the University of St. Gallen, Fraunhofer ISST has developed a method for the Digital Business Engineering. With this procedure model we support companies in the digital transformation. We thereby address project and line managers in marketing, sales, business development, supply chain management and IT.

[1] (Source: McKinsey: Minding your digital business. In: MicKinsey on Business Technology (2012) No. 27, p. 24-31.)


Digital Business Engineering is a model-driven and method-based transformation approach for the digital age. Companies benefit from our method because it provides guidance and structure in a relatively unexplored field of action and because practical experience in application enters continuously into further development of methods. With our Digital Business Engineering, we support you at all levels: strategically in the realignment in terms of digitization, in the adaptation of your processes and of course in the technical implementation at system level.

End-to-End Customer Process
With techniques such as »Customer Journeys« and the »Multi-Channel« analysis we assist in the analysis, modeling and description of the customer process from the development of a certain product or service need up to postprocessing.

Digital Ecosystem
In most of the cases, the end-to-end customer process cannot be supported by a single company but by several companies forming an ecosystem. Our techniques of network analysis enable the identification and analysis of the players in the ecosystem and their interaction.

Digital Products and Services
Many service offerings in the digital age accumulate physical products and / or classical services around digital services. Others in turn base on digital platforms. On their basis different software services are developed which in turn enable an individualized offer.

Digital Skills
Reference models for »Digital Capabilities« serve as a blueprint to close the skills gaps in both technical and information technology regard.

Data Architecture and »Data Value Chain«
Digital business models are based on data that – unlike in the past – are from different internal and external sources, are different in nature, occur in different volumes and frequencies and are of varying quality. Techniques of data management architecture will help in the creation of data maps for digital use cases. In addition, companies need to identify the data value chain, analyze and model in terms of end-to-end customer process.

Digital Technology Architecture
In support of the digital business model, we combine existing Business Application Systems (e. g. ERP, CRM, MES) with new technologies (eg. in-memory databases, Big Data software, mobile applications) on the basis of our digital system architectures.