Course Details

Data-Driven Decisions: Big Data Analytics in Procurement & Supply Chain Training Course

 INTRODUCTION

"Harness the power of big data to transform your procurement and supply chain operations. Our Big Data Analytics in Procurement & Supply Chain Training Course equips professionals with the skills to extract valuable insights from vast datasets. Learn to optimize sourcing, predict demand, mitigate risks, and enhance efficiency using advanced analytics techniques. Master the techniques of data-driven decision-making and drive innovation in your supply chain."

DURATION

10 days

TARGET AUDIENCE

This course is meticulously designed for:

• Procurement Managers and Analysts: Seeking to optimize sourcing and supplier management.
• Supply Chain Managers and Analysts: Enhancing supply chain efficiency and visibility.
• Logistics and Operations Professionals: Utilizing data for predictive analytics and process optimization.
• Data Analysts and Scientists: Applying big data techniques to procurement and supply chain challenges.
• IT Professionals: Implementing and managing big data analytics platforms.
• Anyone seeking to enhance their skills in big data analytics for procurement and supply chain.

COURSE OBJECTIVES

Upon completion of this course, participants will be able to:

• Understand the fundamentals of big data and its applications in procurement and supply chain.
• Utilize data mining and machine learning techniques for predictive analytics.
• Implement data visualization tools for effective communication of insights.
• Optimize sourcing and supplier selection using big data analysis.
• Enhance demand forecasting and inventory management with data-driven approaches.
• Mitigate supply chain risks through predictive risk analysis.
• Improve logistics and transportation efficiency using big data analytics.
• Ensure data quality and governance in big data projects.
• Understand the ethical considerations and challenges of big data analytics.
• Understand the importance of data security.
• Understand how to properly document data analysis.

COURSE MODULES

Module 1: Introduction to Big Data in Procurement and Supply Chain:

• Overview of big data concepts and technologies.
• Understanding the benefits of big data analytics in supply chain.
• Exploring real-world applications of big data in procurement and logistics.
• Understanding the challenges of working with big data.

Module 2: Data Collection and Preprocessing:

• Identifying and collecting relevant data sources.
• Cleaning and transforming data for analysis.
• Implementing data warehousing and data lakes.
• Understanding the importance of data quality.

Module 3: Data Mining and Machine Learning Techniques:

• Utilizing data mining algorithms for pattern discovery.
• Applying machine learning models for predictive analytics.
• Implementing clustering, classification, and regression techniques.
• Understanding the proper use of different algorithms.

Module 4: Data Visualization and Reporting:

• Utilizing data visualization tools (Tableau, Power BI) for effective communication.
• Creating dashboards and reports for performance monitoring.
• Communicating insights to stakeholders.
• Understanding the importance of proper data presentation.

Module 5: Sourcing and Supplier Selection with Big Data:

• Analyzing supplier performance using big data analytics.
• Identifying and mitigating supplier risks through data analysis.
• Optimizing sourcing strategies based on market trends.
• Understanding how to use big data to find alternative suppliers.

Module 6: Demand Forecasting and Inventory Management:

• Implementing data-driven demand forecasting models.
• Optimizing inventory levels using predictive analytics.
• Utilizing big data for real-time inventory tracking and management.
• Understanding time series data.

Module 7: Risk Management and Predictive Analytics:

• Implementing predictive risk analysis for supply chain disruptions.
• Utilizing big data for real-time risk monitoring and mitigation.
• Developing risk dashboards and alerts.
• Understanding how to properly document risk analysis.

Module 8: Logistics and Transportation Optimization:

• Optimizing transportation routes and delivery schedules using big data analytics.
• Utilizing real-time traffic and weather data for logistics planning.
• Implementing predictive maintenance for fleet management.
• Understanding the importance of proper data integration.

Module 9: Data Governance and Security:

• Ensuring data quality and consistency in big data projects.
• Implementing data security and privacy protocols.
• Managing data access and permissions.
• Understanding data governance best practices.

Module 10: Case Studies and Implementation Strategies:

• Analyzing real-world examples of big data analytics in procurement and supply chain.
• Developing implementation strategies for big data projects.
• Measuring the ROI of big data initiatives.
• Understanding future trends in big data analytics.

CERTIFICATION

• Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

• Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

• Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

• Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com