CERTIFIED SUPPLY CHAIN ANALYST (CSCA) 2nd Batch

After successful completion of the program, participants will be able to:

• Introduce participants to the fundamentals of supply chain analytics and its significance.
• Provide an understanding of data types and analytical techniques relevant to supply chains.
• Explore the four types of supply chain analytics: descriptive, diagnostic, predictive, and prescriptive.
• Train participants to apply demand analytics for accurate forecasting and planning.
• Highlight the impact of supply chain analytics on sustainability and ESG objectives.
• Equip participants with knowledge to develop and interpret supply chain models.
• Provide tools for conducting supply chain cost analysis to identify optimization opportunities.
• Teach methods for analyzing supply chain performance using key performance indicators (KPIs).
• Discuss emerging trends and technologies shaping the future of supply chain analytics.
• Enable participants to make data-driven business decisions using supply chain analysis.

Modules:

M-1: Introduction to Supply Chain Analytics

M-2: Basic about Data & Analytics

M-3: The Four Types of Supply Chain Analytics

M-4: Demand Analytics & its Uses

M-5: Impact of Supply Chain Analytics on the ESG Agenda

M-6: Supply Chain Modelling

M-7: Supply Chain Cost Analysis

M-8: Supply Chain Performance Analysis

M-9: The Future of Supply Chain Analytics

M-10: Business Decision through Supply Chain Analysis

Upon completion of the CSCA program, participants will:

• Understand the role and value of analytics in supply chain management.
• Identify and utilize various types of supply chain analytics to solve business challenges.
• Apply demand analytics techniques to improve forecasting accuracy and inventory management.
• Analyze the relationship between supply chain analytics and ESG goals.
• Develop and interpret supply chain models to optimize processes and operations.
• Perform detailed cost analyses to identify and mitigate inefficiencies.
• Measure and evaluate supply chain performance using relevant metrics and KPIs.
• Recognize and adapt to emerging trends in supply chain analytics.
• Utilize advanced analytical tools and techniques to support strategic decision-making.
• Transform supply chain data into actionable insights to improve overall business performance.

Features:
Duration: 4 Months
Short Video Materials: Yes
Mode of Learning: Live Sessions

Post Completion:

• Electronic Certificate
• Digital Badge via Credly.com
• Printed Certificate available

Exam Method:

• Number of Exams: 01
• Number of Questions: 50 MCQ Questions + 5 Written Questions
• Duration: 120 Minutes
• Total Marks: 200
• Pass Mark: 70%

Assignment: 

• Total Assignments: 05
• 1 Pre-Course Assignment (Learning Purpose)
• 3 Capstone Projects
  • Each Assignment Marks: 100
  • Pass Mark: 70%
• 1 Capstone Projects
  • Each Assignment Marks: 100
  • Pass Mark: 70%

Data Literacy

Understanding data types, structures, and tools used in supply chain analytics.

Analytical Thinking

Ability to apply descriptive, diagnostic, predictive, and prescriptive analytics to supply chain problems.

Demand Forecasting

Proficiency in leveraging analytics to predict and manage customer demand.

Cost Optimization

Skills to analyze and reduce costs across the supply chain.

Performance Measurement

Expertise in assessing supply chain performance using data-driven metrics and KPIs.

Sustainability Integration

Knowledge of how analytics can support ESG initiatives in supply chain management.

Technological Adaptability

Familiarity with modern tools and platforms for supply chain analytics, including AI and machine learning.

Strategic Decision-Making

Capability to use analytical insights for making informed and impactful business decisions.