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Engineering Data Management for Automotive & Truck OEMs

Increasing consumer demand for connectivity and autonomous features are driving unabated adoption of embedded software and electronics contents in automotive systems, forcing automakers to adopt a more integrated approach to manage multidisciplinary systems complexity. Automakers can now manage multidisciplinary engineering teams with an integrated system for engineering lifecycle management that leverages requirements management, secure supplier collaboration and an engineering management platform that combines mechanical, electronic, software and simulation data into a single collaborative environment.

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Engineering Data Management for Automotive & Truck OEMs

Increasing consumer demand for connectivity and autonomous features are driving unabated adoption of embedded software and electronics contents in automotive systems, forcing automakers to adopt a more integrated approach to manage multidisciplinary systems complexity. Automakers can now manage multidisciplinary engineering teams with an integrated system for engineering lifecycle management that leverages requirements management, secure supplier collaboration and an engineering management platform that combines mechanical, electronic, software and simulation data into a single collaborative environment.

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Engineering Data Management for Automotive & Truck OEMs
Engineering Data Management for Automotive & Truck OEMs
Engineering Data Management for Automotive & Truck OEMs

Increasing consumer demand for connectivity and autonomous features are driving unabated adoption of embedded software and electronics content in automotive systems. More traditional mechanical features are now executed with embedded technologies, much of which is being delivered by a global supply chain. Designing and building these smart, connected vehicles requires rethinking product development methodologies and an integrated approach to managing complexity. Automotive companies are finding themselves short on the skill sets and process knowledge needed to develop specialized IoT connected technologies.

Siemens offers a multidisciplinary approach to automotive engineering lifecycle management that leverages integrated requirements management, secure supplier collaboration and an engineering management platform that combines mechanical, electronic, software and simulation data into a single collaborative environment. Automakers can now enable intelligent management, sharing and synchronization of data across product configurations and organizational functions.

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Engineering Data Management for Automotive & Truck OEMs
Engineering Data Management for Automotive & Truck OEMs

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