Effective analytics adoption is a prerequisite to supply chain digitalization. Yet supply chain analytics success is oftentimes stifled, not by a shortage in data science talent, but by lack of alignment with supply chain priorities and low user adoption. Supply chain organizations struggle to create a balanced supply chain analytics team that satisfies the three pillars of analytics: data science, supply chain expertise and data management. In this complimentary supply chain webinar, supply chain leaders responsible for analytics talent and strategy will learn which roles and skills to pursue to succeed in supply chain analytics.
Identify the essential roles and talent required to achieve supply chain analytics excellence
Gauge your current level of maturity and corresponding roles required
Manage career expectations and establish role definitions to attract and retain top supply chain analytics talent
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Distinguished VP Analyst
Data Scientist Manager, Microsoft
World Wide Director Supply Chain Analytics Enablement, Colgate-Palmolive