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Integrating management objectives with execution-level supply chain data and decisions

Integrating management objectives with execution-level supply chain data and decisions. Business impact Business goals. Analytics and automation. Analytics. Going deeper. Going deeper. Ability to execute on data. Access to data. Data organization, management, and integration.

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Integrating management objectives with execution-level supply chain data and decisions

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  1. Integrating management objectives with execution-level supply chain data and decisions Business impact Business goals Analytics and automation Analytics Going deeper Going deeper Ability to execute on data Access to data Data organization, management, and integration • Important changes in how data and supply chains are managed are required: • New thinking and methods, in both supply chain and IT • Close working partnership between supply chain and IT essential “Mindset change to manage master data as a business capability, not IT infrastructure” - Greg Valdez, Intel

  2. The Semiconductor Manufacturing Supply Chain 2

  3. TM Today’s speakers: Opportunities across industries and supply chain domains • Manufacturing & Distribution • WIP • Capacity • Lead time • Constraints • Inventory • Supply • Part level • Supply price, lead time, availability, inventory • Demand variability and forecast error • Products • Changing product offerings • NPI, EOL • BOM changes, ECNs… • Demand • SKU level, by location • Units, lead time & OTD • Pricing and margin • Inventory • Demand variability & forecast error Master data management Enterprise data warehouse

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