Digital value creation is based substantially on the processing and evaluation of data, for example through data analysis techniques or the application of artificial intelligence. We consider digital value creation through data processing and evaluation as an economically significant asset worthy of protection. This creates an incentive for innovation and at the same time protects investments.
Case studies from practice
Case study 1: ABB
The ABB AbilityTM Collaborative Operations Centers (COC) offers a new form of cooperation in digital services. ABB experts use secure cloud-based applications with which they collect, combine, analyze and visualize plant data 24/7 up to proactive reporting, depending on the scope of services. Customers can thus fast and efficiently obtain decision documents to improve their plant availability, production throughput or product quality, thus increasing their cost efficiency and the performance of their operating processes. Mass data from the plants or fleets is linked with in-depth industry-specific knowledge. The aim is to create new value creation potential together with customers.
Further information
Case study 2: Siemens
One example of value added derived from data is data-based condition-based maintenance, which allows the condition values of a field device to be analyzed in the central maintenance management system.
If operating data is collected from a fleet of machines, data analysis can be used to determine sensible maintenance times. The underlying evaluation procedures can be protectable. Siemens holds patents for this in the area of "Systems and methods for condition-based maintenance".
4. Turning data into information - This added value is an economically significant asset of companies
Digital value creation is based substantially on the processing and evaluation of data, for example through data analysis techniques or the application of artificial intelligence. We consider digital value creation through data processing and evaluation as an economically significant asset worthy of protection. This creates an incentive for innovation and at the same time protects investments.
Case studies from practice
Case study 1: ABB
The ABB AbilityTM Collaborative Operations Centers (COC) offers a new form of cooperation in digital services. ABB experts use secure cloud-based applications with which they collect, combine, analyze and visualize plant data 24/7 up to proactive reporting, depending on the scope of services. Customers can thus fast and efficiently obtain decision documents to improve their plant availability, production throughput or product quality, thus increasing their cost efficiency and the performance of their operating processes. Mass data from the plants or fleets is linked with in-depth industry-specific knowledge. The aim is to create new value creation potential together with customers.
Further information
Case study 2: Siemens
One example of value added derived from data is data-based condition-based maintenance, which allows the condition values of a field device to be analyzed in the central maintenance management system.
If operating data is collected from a fleet of machines, data analysis can be used to determine sensible maintenance times. The underlying evaluation procedures can be protectable. Siemens holds patents for this in the area of "Systems and methods for condition-based maintenance".