Siemens is driving pioneering new digital services and expanding its current service solutions for its global customers. The company is deploying projects and devoting significant resources to unlock the full potential of this transformation. Siemens has developed a number of advanced, data-driven service offerings that combine big data with the company’s comprehensive domain expertise to support its industrial, oil and gas, electric utility and wind power customers. “Siemens Digital Services for Energy powered by Sinalytics,” has been officially unveiled at the Hannover Messe industrial fair in Hannover, Germany.
Siemens Digital Services for Energy are “intelligent knowledge systems” that are enabled by advanced algorithms, sophisticated data analytics and pioneering machine-learning, combined with domain know-how, to create new business models that are continuously fed by as-operated and as-maintained fleet and unit-specific data. This approach facilitates tailored service solutions designed to meet customer needs for operational flexibility, plant performance, condition-based maintenance and more. These data analytics also contribute to the development of new and improved processes and provide valuable insights that can be used in future technology design.
“Big data is transforming our industry into a digitally driven, intelligent ecosystem,” said Randy Zwirn, CEO of Siemens Power Generation Services. “Siemens is investing significant resources across its various businesses to successfully marry the physical and virtual worlds. With more than 300 000 devices already connected via our powerful Sinalytics platform architecture, we are able to put to work our vast experience and deep know-how to pioneer digital services that create game-changing value for our customers.”
These advanced data-driven service solutions are enabled by Sinalytics, Siemens’ secure, scalable, industrial-strength analytics platform architecture, capable of integrating huge volumes of complex data. Over 300 000 devices are connected company-wide through Sinalytics.
Edited from press release by Angharad Lock
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