Digital Mission
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Digital Innovation Acceleration Dynamic Life-Cycle Intelligence

Lifetime Product Performance

Current Situation

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.

Technology Deployed

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.

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