The examples and student exercises will focus on the following areas: real options, supply chain management ... in-class case studies and group projects. All data analysis, optimization and simulation ...

From predicting shortages to optimizing delivery routes, narrow AI is driving efficiency and unlocking capabilities that were ...

Analyst Insight: In supply chain operations, creative strategies for recruiting, developing and otherwise accessing expertise in advanced analytics, data management and change management offer a ...

For example, supply chain analytics can help a food manufacturer forecast ingredient ... “If someone was an undergraduate psychology major, for example, and really likes numbers and data, we will ...

Data analytics is an extremely important aspect of any company that wants to effectively develop and scale its business.

Brands need to improve their data currency, embracing the data sources, systems and technologies that will allow them to know ...

Strategic benefits of advanced supply chain analytics Addressing critical challenges with data analytics Real-world applications of analytics Driving business value A foundation for future ...

Digitalization offers a path toward more efficient processes, enabling brands to shift from reactive quality and compliance ...

But obtaining that level of efficiency today requires heavy data analytics and predictive modeling ... the disparate data sets created within supply chain workflows, you first need to focus ...

Supply Chain Analytics also builds on aspects of the first-year Data Science for Managers (RC DSM) course. However, whereas RC DSM focuses primarily on mechanics and applications of particular data ...

Inspired by industry trends and demand, the Master of Supply Chain Analytics program at Rutgers Business School will prepare you to be a data-driven decision-maker in a rapidly growing job market. The ...