Successful Implementation of Data-Driven Business Models in Manufacturing Companies
Today, the increasing dissemination of information and communication technologies (ICT) allows a continuous increase in available data, especially during the product’s use phase. While physical products are facing an increasing price pressure due to ongoing commoditization, product- and user-related field data offer new differentiation potentials. However, many companies are currently not sufficiently concerned with the issue of how to use existing data or how to collect systematically relevant data.
This is where the presentation “Value Capture – Successful Implementation of Data-Driven Business Models in Manufacturing Companies” comes in. This lecture deals with the central question of how companies can generate a monetizable added value for customers from field data of smart products and implement it successfully in business models.
Derived from selected best-practice case studies, which have already been successfully implemented in business practice, the presentation will show success factors as well as essential challenges in the design and implementation of data-driven business models. In this way, specialists and managers of manufacturing companies are presented with a practical guideline that serves as an impulse for designing a data-driven business model in their own company.