Supply Chain Analytics is an emerging and exciting area in high demand. It has the power to completely transform any business, especially in the manufacturing, automotive, oil & gas, telecoms, retail, fast-moving consumer goods (FMCG), etc. It encompasses virtually the complete value chain: sourcing, manufacturing, distribution and logistics. End-to-end visibility of supply chain performance across multiple functions and disciplines reveals previously unseen trends and drives better decisions. Dashboards and scorecards provide this insight, elevating supply chain CERTIFICATE IN SUPPLY CHAIN ANALYTICS (Certified Supply Chain Analyst)
priority to C-level decision-makers.

Supply chain analytics lets you make sense of the data in your supply chain, so you can make better decisions. Applying analytics to the supply chain is still relatively new. As the technologies for intelligent analysis and data visualization explode, it is a great time to look at what your business can achieve through a comprehensive supply chain analytics strategy.

This course takes participants on a journey to this fascinating area where supply chain management meets data analytics. You will learn real-life examples of how analytics can be applied to various domains of a supply chain, from selling, to logistics, production, and sourcing, to generate a significant social/economic impact.
Supply Chain Analytics transforms supply chain activities from guessing to ones that make decisions using data. According to Deloitte, 79% of organizations with high performing supply chains achieve revenue growth that is significantly above average. This course will show you how to formulate and answer Supply Chain optimization questions such as where a production facility should be located, how to allocate production demand across different facilities, and more. We will explore the results of the models and their implications through sensitivity and simulation testing

What You Will Learn
• Types of analytics (descriptive, diagnostic, predictive, and prescriptive) and the relationships between them
• The role of analytics in supply chain management (SCM)
• Preprocessing (cleaning and integrating) data as it relates to SCM
• How to conduct exploratory data analysis on supply chain data
• How to identify and analyze Key Performance Indicators (KPIs) of SCM
• Understand how to solve analytical problems in real-world scenarios
• Define effective objectives for analytics projects
• Work with different types of data
• Utilize charts, graphs, and tools used for analytics and use them to gain valuable insights
At the end of the course, active participants will be able to:
• Discuss the most relevant planning challenges across the strategic, tactical, and operational levels of supply chains.
• Explain the difference between analytics types, the links between them, and how to best use them to improve SCM processes.
• Use KPIs to find causes of underperformance in supply chains and to plan for analytics projects that will address strategic SCM goals.
• Understand the importance of data visualization to drive more effective business decisions and ROI
• Explain the role and applications of Descriptive Analytics in a Supply Chain
• Explain the role and applications of Predictive Analytics in a Supply Chain
• Explain the role and applications of Prescriptive Analytics in a Supply Chain