Supply Chain Analytics

About the Course

In the present time of intense global competition, customers are demanding more and more variety, with better quality and service at the lowest cost. This means that to be successful, organisations need to develop supply chain strategies and logistical capabilities that serve the needs of their customers whilst maximising overall profitability. To function properly, all supply chains must focus on the vast opportunity in their analytics.

With recent technologies, nowadays the organisations own a considerable amount of data and what differentiates one from the other is that it gets benefits from this data, so it is important for the organisations’ teams to be aware of the concept of data and its types and how to deal with these big data to clean it, analyse it and visualise it for the better data-driven decision-making process.

This training course will tackle the flow of supply chain, measures for analysing the performance of supply chain and how big data analytics can be used in managing your supply chain. Likewise, it will be exposed to the Supply Chain Operations Reference (SCOR) model, how to implement it and its importance as a tool used to address, improve and communicate supply chain management decisions within the organisation and with suppliers and customers of the organisation.

Core Objectives

The delegates will achieve the following objectives:

• Understand the importance of data analysis for the decision-making process
• Know how to deal with different types of data
• Understand how to get analytics from the big data
• Comprehend metrics used as supply chain analytics
• Know What is SCOR model & its importance for supply chain process improvement

Training Approach

This training course will utilise various proven learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes discussion and lectures using international best practices, practical applications, exercises and case studies.

The Attendees

Likewise, it will be valuable to the professionals but not limited to the following:

• Supply Chain Professionals
• Operations Seniors & Heads
• Logistics & Procurement Professionals
• Data Analysts

Daily Discussion

DAY ONE: EXPLORING DATA ANALYSIS

• Importance of Data Analysis for Data-based Decisions
• Reading the Data
• Cleaning the Data
• Data Visualisation
• Tools for Data Analysis

DAY TWO: TYPES & USE OF DIFFERENT ANALYTICS

• Statistics Summary
• Descriptive, Perspective and Predictive Analytics
• Uncertainty and its handling
• Data Visualisation for Decision Making
• Different Tools for Data Visualisation

DAY THREE: DATA ANALYTICS AND SUPPLY CHAIN

• Understanding and defining the Supply Chain Analytics
• Why is Analytics significant in a supply chain?
• Operations Management with Supply chain concepts with Supply Chain Analytics
• Importance of supply chain analytics in the flows connecting material, money, information
• Trends in Supply Chain Analytics

DAY FOUR: SUPPLY CHAIN ANALYTICS

• Key issues in Supply Chain Analytics
• What involves in Supply Chain Analytics?
• Concept of Descriptive Analytics in a Supply Chain
• Supply Chains Analytics Applications
• Decision Domains in Supply Chain Analytics

DAY FIVE: SUPPLY CHAIN OPERATIONS REFERENCE (SCOR) MODEL

• What is the SCOR model?
• Why SCOR model?
• Analytics framework based on SCOR model
• SCOR Metrics
• How to implement the SCOR model?