The lifecycle of products is not managed holistically and iteratively, thus lifetime product profitability is not maximized.
Goals and Objectives
Maximize lifetime profitability in the context of both product and overall portfolio.
Hardware: Servers, storage, IoT, smartphones, tablets
Software: PLM, ERP, CRM, BDA, security
Services: Business services, IT services
Use Case Summary
There will be the ability to capture pan lifetime data and identify, both reactively and proactively, the optimal point at which a product should be launched and when it should be retired. Data trumps debate. Engineering/R&D are tied into product lifecycle performance & commercialization data for iterative product and service optimization.