CSCD – BRASI’s comprehensive training program in Supply Chain Data Analytics covers essential topics across four modules. Participants will gain insights into data analytics fundamentals, key performance indicators, and the importance of data-driven decision-making.
The course includes descriptive, predictive, and prescriptive analytics, focusing on forecasting, optimization techniques, and data visualization tools. Additionally, we address advanced analytics techniques, integration with supply chain systems, ethics, and future trends, ensuring learners are well-equipped with practical skills and knowledge for effective supply chain management.
Course Curriculum
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MODULE 1 – Supply Chain Data Insights
- Introduction to Supply Chain Data Analytics
- Overview of data analytics in supply chain management
- Importance and benefits of data-driven decision-making
- Fundamentals of Data Analytics
- Types of data: Structured vs. unstructured
- Data collection methods and sources
- Data cleaning and preparation techniques
- Key Performance Indicators (KPIs) in Supply Chain
- Identifying relevant KPIs
- Measuring and interpreting KPIs
- Benchmarking and performance evaluation
MODULE 2 – Analyzing and Forecasting in Supply Chain
- Descriptive Analytics
- Analyzing historical data and trends
- Visualizing data through dashboards and reports
- Identifying patterns and anomalies
- Predictive Analytics
- Forecasting demand and supply
- Using statistical models and machine learning algorithms
- Risk assessment and scenario analysis
- Prescriptive Analytics
- Optimization techniques for supply chain decisions
- Simulation and modeling for supply chain scenarios
- Recommendation systems and decision support
MODULE 3 – Visualizing and Integrating Supply Chain Data
- Data Visualization Tools
- Introduction to data visualization software (e.g., Tableau, Power BI)
- Creating effective charts, graphs, and maps
- Designing interactive dashboards
- Advanced Analytics Techniques
- Data mining and advanced statistical methods
- Big data and its impact on supply chain analytics
- Leveraging AI and machine learning in supply chain
- Integration with Supply Chain Systems
- Connecting data analytics with ERP, WMS, and other supply chain systems
- Data integration and interoperability challenges
- Real-time data processing and analytics
MODULE 4 – Case Studies and Future Innovations
- Case Studies and Practical Applications
- Real-world examples of supply chain analytics
- Hands-on projects and exercises
- Best practices and lessons learned
- Ethics and Data Privacy
- Ensuring data security and compliance
- Addressing ethical concerns in data usage
- Implementing best practices for data protection
- Future Trends in Supply Chain Analytics
- Emerging technologies and innovations
- The impact of IoT, Blockchain, and advanced analytics on supply chain management
Training Options
- Instructor-led online
- Instructor-led on-site
Learning Resources
- Module handbooks PDF format
- Video lessons
- Quizzes
- Final Test
- Access to instructor for Q&A as needed
- Instructor-led live sessions (where appliable)
Certificate Award
CSCD Certificate issued by BRASI USA, carrying unique ID, valid for life.
