Uncovering insights from data is becoming increasingly important in today’s supply chain management. The Covid-19 pandemic has escalated the need for firms to manage and make sense of data. Supply chain analytics involves the use of data and analyses to gain insights about supply chain operations and make better, fact-based decisions. While the scope of analytics spans descriptive analytics, predictive analytics, and prescriptive analytics, average users primarily deal with descriptive analytics in the day-to-day operations. Reports such as those sales and revenue, work flow, and sales are all examples of descriptive analytics.
In supply chain analytics, you’ll learn the roles of analytics in supply chain management, different types of analytics (descriptive, predictive, and prescriptive), cleaning and preparing data for analyses, conducting exploratory data analyses, visualizing data and creating dashboard, and story telling with data.
Supply chain professionals who want to perform analytics to improve the supply chain processes they own.
David Peng, Ph.D., is professor of supply chain management and holds the Dean’s Chair professorship in the College of Business, Lehigh University. Dr. Peng is also chair of the department of Decision and Technology Analytics. He teaches and conducts research in sourcing strategy, technology management, and eBusiness operations.
By providing a better understanding of value chains, logistic systems, demand and supply chain planning processes, operations, quality systems, and supply networks, Lehigh’s 8-day Executive Certificate in Supply Chain Management enables participants to create competitive advantages for their organization and their career.More Information