Demand and Supply Analytics I

Enroll in Demand and Supply Analytics I to explore how data-driven insights can optimize business decisions across industries.

This course examines demand and supply management challenges, focusing on price optimization, market segmentation, and revenue management techniques. Learn to build models, analyze case studies, and apply pricing and supply chain strategies to real-world business scenarios.

Key Benefits

• Foundational Analytics Knowledge: Understand core concepts of demand and supply analytics, including price optimization and revenue management.

• Practical Applications: Analyze real-world case studies of organizations successfully implementing analytical techniques.

• Hands-On Modeling Skills: Build models to support managerial decisions and improve business outcomes.

• Advanced Pricing Techniques: Gain expertise in static and dynamic pricing, market segmentation, and non-linear pricing models.

• Expert Instruction: Learn from Daniel Guetta, a leader in business analytics and pricing strategies.

Learning Outcomes

By the end of this course, learners will be able to:

• Identify Business Opportunities: Evaluate analytics opportunities to create business value in demand and supply management.

• Build Decision Models: Develop models using analytical techniques to support strategic business decisions.

• Analyze Pricing Strategies: Apply concepts such as price elasticity, price optimization, and pricing segmentation.

• Master Revenue Management: Understand quantity-based revenue management, network revenue management, and overbooking techniques.

• Explore Advanced Methods: Study and implement algorithms like Schubert’s Algorithm and DIRECT Algorithm for revenue analytics.

Are you ready to transform your business decision-making with data-driven insights?

Enroll in Demand and Supply Analytics I and gain the skills to optimize pricing strategies, manage supply chains, and unlock revenue potential. Learn from Daniel Guetta, a recognized expert in business analytics, and prepare to excel in the field.