Studies 2021
Monetizing Industrial Data
![Businessman making presentation with his colleagues and business strategy digital layer effect at the office as concept Two people making a presentation with several colored graphs](/en/Results/monetizing-industrial-data/jcr:content/fixedContent/pressArticleParsys/textwithasset/imageComponent/image.img.jpg/1657278885694/Fotolia-114200851-teaser.jpg)
Challenge and Motivation
- Huge amount of data generated in different value chains
- Combination of industrial data from different sources might lead to valuable insights but is not getting monetized yet
Objective
- Develop a blue-print for a holistic business model along the value chain
- Create a value estimation and pay-back guide for the monetization of industrial data
Procedure
- Player in the value chain: Identification of generic roles along the value chain
- Value of machine sensor data: Identification of the value that various data sources deliver (Sensors, Manufacturing Execution System etc.)
- Value of data analytics: Identification of appropriate Machine Learning / analytics models for value generation
- Value monetization: Alignment of the value proposals and dev. of strategies to capture value driven revenues