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
Flexible, convenient and effective self-paced learning, utilizing online resources, and with instructor coaching up to four hours on a need basis. Start any time, complete within three months or sooner. The module quizzes and the final test are self-administered. A certificate is issued upon successful completion of the course.
This Course includes the following:
- Access to the online training materials, including downloadable handbooks, exercise files, and other materials.
- Video lessons.
- Quizzes.
- Final Test.
- Soft copy of the certificate.
- Each BRASI certificate carries a unique ID code and is valid for life.
You will find detailed information about the training methods, learning resources, suggested schedule, and the criteria for passing the final test in the Student Guide provided at the beginning of this course. If you need further details or have any specific questions, you may contact the Registrar.
