Year of Study:	1 or 2
Credit Units:	3
Duration:	45hours
Prerequisites:	SCM6005 Decision Modelling for Managers

Because the tremendous amount of information available on the internet (primarily via social media), it paves the way for the use of analytics to obtain vital information for the planning and control of supply chains. There are two kinds of analytics: data analytics and decision analytics. Data analytics are information methodology that can be used to process data, transforming data into domain knowledge (parameters of the supply chain). Within a supply chain context, such domain knowledge can be further processed by decision analytics: descriptive analytics (supply chain control techniques), prescriptive analytics (supply chain optimization methodology)　 and predictive analytics (demand forecasting and resources planning models). In this course, we discuss these two kinds of analytics and show that a proper integration of these two kinds of analytics is required for the successful planning and control of supply chains within a big data context.

Upon completion of this module, students should be able to:
1. understand key areas of a supply chain
2. understand the use of data analytics and decision analytics
3. utilize analytics to obtain vital information for better planning and control of supply chains
4. apply qualitative and quantitative problem solving skills necessary to develop solutions for a variety of supply chain management
5. evaluate the effectiveness and efficiency of logistics operations