Springer-Book “Monetization of technical Data — Innovations from Industry and Academia”
The full article was originally published by Daniel Trauth on Medium. Read the full article here.
senseering, WZL of RWTH Aachen University and Fraunhofer FIT have sent manuscript to SpringerVieweg.
The monetization of data is a very new topic per se, and there are only a few
very few case studies. There is a lack of a strategy or a concept, that shows executives the way to monetize data, especially those who have discovered the digital transformation or Industry 4.0 for themselves or are threatened by it. Because machine data is mostly unstructured and cannot be exploited without domain knowledge/metadata, the monetarization of machine data
holds potential that cannot yet be conclusively evaluated.
In order to grasp that potential, senseering, WZL of RWTH Aachen and Fraunhofer FIT have initiated this book, that includes 35 contributions from academia as well as practical examples from industry. On the basis of these examples, readers can already become part of a future data economy. Added values and benefits are described in concrete terms.
Submission completed
After one year of work, the manuscript finally went to Springer on January 15, 2021 and will be in the shelves by the end of the year!
Preface
Dear Readers,
“Elon Musk’s company Tesla is not an electric car manufacturer, Tesla is a software company” is one of my favorite quotes. On the one hand, it shows how multifaceted digitalization is, and on the other hand, how misunderstood it is. While in the eyes of many citizens and entrepreneurs the electric vehicles are Tesla’s actual product, the so-called digital natives in particular see the digital services and features that — just like that — come along as a product.