The Monetization of Technical Data: Innovations from Industry and Research

The Monetization of Technical Data: Innovations from Industry and Research

Author
Daniel Trauth, Thomas Bergs, Wolfgang Prinz
Publisher
Springer
Language
English
Year
2023
Page
658
ISBN
3662665085,9783662665084
File Type
pdf
File Size
13.5 MiB

The monetization of data is a very young topic, for which there are only very few case studies. There is a lack of strategy or concept that shows decision-makers the way into the monetization of data, especially those who have discovered or are threatened by the digital transformation or Industry 4.0. Because machine data is usually unstructured and not usable without domain knowledge/metadata, the monetization of machine data has an as yet unquantifiable potential. In order to make this potential tangible, this work describes not only contributions from science, but also practical examples from industry. Based on different examples from various industries, the reader can already become part of a future data economy today. Values and benefits are described in detail.

The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.

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