In part one of this series, I wrote that “a supply network data model must live at the heart of any supply chain” and how “the required data model implicit in running a true global supply network is as fundamental as the data model change required to move from an on-premise traditional enterprise class application to a true SaaS multi-tenant application”. In this follow-up analysis, I want to share my rationale for this argument and what it means to practitioners and providers — and the blurring of those two roles as their worlds converge. The premise is simple. If a manufacturer is going to operate a global, multitier supply network, and if that manufacturer wants to digitize that supply chain for improved efficiency and effectiveness, then it should possess an IT system that has an underlying data model that mirrors the physical network. More specifically, a supply network information model should have five distinct characteristics.
Extended Supply Network Information Models: The Missing DNA in the Digital Supply Chain (Part 2 — Why it Matters) [Plus+]
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