Digital twin for data-driven decision-makingDownloadKnow the challenges of the future today
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Orchestrators for data analysis and real-time forecastsDigital twins can help improve operational efficiency, reduce downtime, optimise performance, increase safety and reduce time to market. Learn how our five-step approach helps to implement successful digital twin applications in our white paper. |
The digital twin concept has been helping many companies optimise processes, anticipate problems, and run technological test scenarios in a secure environment for some time now. However, with increasingly volatile customer requirements and difficult-to-predict market developments, the technology with the right applications can also help to become more resilient and to better adapt to the challenges of the VUCA world. In our white paper, we show how companies are using the full potential of their digital twins by turning them into orchestrators for data analytics and real-time predictions. Our experts also outline how decision makers assess and classify digital twins with an effective framework to determine the status quo of the technology and plan the step to the next level. A look at our field-tested roadmap for implementation also shows how corresponding projects can get underway quickly. |
There is no one-size-fits-all solution for implementing digital twins. Every company must adapt its approach to its individual needs. This makes it all the more important to understand your own level of maturity with regard to data automation and process maturity. Jens Henning Krause Senior Manager, PwC Germany |
Download the white paper now and discover how you can further develop your digital twin in a targeted approach. |
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