White paper

Industrial Data Platform

A journey to go

Sustainable digitalization through structured data enablement

New technologies such as digital twins, machine learning and artificial intelligence are an important guarantee of success for fully automated, intelligent production. The dynamic market and the changing demand require the industry to undergo a transformation that can no longer be delayed, but also demands the necessary foresight.

To create a secure basis for change and progress, data generated in the production context forms the most important foundation for this. The level of data maturity in the manufacturing industries varies. The more companies integrate their data and use it sensibly, the better prepared they are for market changes and existing competition.

A suitable way to use data in a structured and targeted manner is to set up a central data platform. It creates a solid data infrastructure and a single point of truth (SPOT) that makes it possible to implement future-proof production applications and ensure smooth communication with customers and suppliers.

The “Industrial Data Platform” white paper looks at the individual stages along the respective data maturity path. It provides recommendations on how to approach the topic - from getting started to the final expansion stage of the Data Analytics Maturity Model, in which applications interact independently with production processes.

If you have any questions about the data platform, feel free to contact our experts.

The white paper shows you how to approach a data platform in a structured way and provides valuable insights into the technical requirements and possibilities.

You can download our white paper by e-mail after completing the form on the right.

  • Recommendations for step-by-step implementation
  • Requirements for the sustainable use of data
  • Consideration of challenges and risks

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Ron Schütze Account Manager Semiconductor
Markus Hoffmann Key Account Manager Automotive

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If you want to have more information on data processing at ZEISS, please refer to our data privacy notice.