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" ... Depending upon the corporation, the definition of the term “end-to-end” has vastly different meanings: it could mean end-to-end of the product (e.g. from on-vehicle to connected-servers), end-to-end of the project (e.g. from Research ten years prior to production to DevOps ten years after production) or end-to-end of the corporation (e.g. from engineering in Germany to software testing in India to cybersecurity operations in the United States). All of these could have scaled, complex Agile Development aspects that need active oversight, grooming and strategic planning. “Project managing departments in silos (e.g. SW Architecture, SW Development, Test, Deployment) has limited benefits,” stated Hendrik Esser, Manager of Special Projects at Ericsson. “The massive benefits come from abandoning the stop-and-go of projects and inter-department handovers and instead moving to a continuous program setup with cross-functional teams using Agile planning across organizations ranging from Systems Engineering through Development to Deployment. We also adapted the service functions of Finance and Human Resources to optimize the value flow.” Complex, but powerful when used strategically. ... "
" ... Three transfer layers need to be unlocked simultaneously at each interface to enable such data handovers: 1) technical infrastructure needs to exist, 2) regulatory frameworks need to be in place to create interoperable data standards and govern data privacy, and 3) only demonstrated business value propositions will incentivize users and providers of data to conduct the transaction. Unlocking data flow on all three levels at all four interfaces forms the backbone of commercialization in digital health. ... "
" ... To make the transition to analytical data-empowered engineers, it's best to start small and scale fast. But more importantly, facilitate them to change to a new behavior. Create an organizational structure to share successes and create personal development plans related to the use of analytics for contributing to corporate goals. Especially now, in this new normal, it becomes even more important to make data-driven decisions, such as correcting possible process deviations or communication gaps in shift handovers. ... "