Everyone is talking about data-driven strategies right now. Enterprises are seeking to improve their strategic planning and operational execution using data and analytics. Many organizations are discovering ways to use their data assets as a market differentiator, and some are creating completely new data-driven business models. These strategies are starting to find their way into global supply chains. An advanced data infrastructure can improve forecasting, inventory planning, network design, lead times, service quality and reduce transportation costs. In this post I’ll explore some of the organizational habits necessary to successful execute a data-driven supply chain strategy.
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About the Author
John Berry has spent the last 30 years building software and data solutions for some of the world's most well-known supply chains. He believes supply chain and logistics are great career paths for those looking to establish technology careers. He is currently the IT Director for JUSDA Supply Chain Management, a member of the Foxconn Technology Group. In this role he leads a team that develops technology solutions for the global manufacturing supply chain. John is a contributor to the upcoming book The Digital Transformation of Logistics: Demystifying Impacts of the Fourth Industrial Revolution published by IEEE Press.
Want to learn how to use data integration techniques to optimize business results and supercharge your career? Enroll in John's Data Integration Fundamentals course on Udemy.