Wharton's Revenue Analytics: Price Optimisation program prepares you for career growth by providing the knowledge, understanding, and experience as well as the tactical tools to apply data analytics to revenue management and optimization.
6 weeks | 4-6 hours/week | Self-paced Videos + webinars + cohort
| *** 2024 Cohort Enrolment dates: 12 September, 5th December*** |
Big data analytics are driving more strategic business decisions and optimized revenue opportunities and opening up new and exciting career growth paths in revenue management. Data-driven companies are actively seeking business professionals with tactical expertise in statistical, optimization, and economic decision-making tools for maximizing revenue. Here's why: as Forrester Consulting reports, data-driven companies are 58 percent more likely to beat revenue goals than those that are not focused on data. Plus, according to data analytics company Splunk, companies that place a high emphasis on data see an average annual revenue increase of 5.32 percent due to better data use.
Wharton's Revenue Analytics: Price Optimization program introduces the concepts of revenue management and optimization. As a participant, you will gain practical experience in using various revenue management analytics techniques to solve optimization challenges across a variety of industries. You will come away with knowledge of the essential concepts of revenue management and optimization, along with the ability to use statistical, optimization, and economic tools to help you make the most informed business decisions for maximizing revenue
Topics covered:
- Introduction to Revenue Analytics: Price Optimisation
- Willingness to Pay/Demand Estimation
- Estimation Challenges in Revenue Analytics: Price Optimisation
- Dynamic Pricing
- Quantity-Based Revenue Analytics: Price Optimisation
- New Frontiers in Revenue Analytics: Price Optimisation
Learning Outcomes:
- Identify and understand the key problems solved by revenue management analytics
- Solve revenue management problems using various models for revenue forecasting, statistical estimation, and optimization
- Understand the economic and mathematical concepts of revenue management in different business contexts
- Make business decisions and develop an optimal pricing strategy based on estimation data
- Determine optimal pricing strategies to maximize business revenue
- Use analytics to forecast trends, risks, and challenges in existing and new markets—as well as create strategies to manage them
Program Experience:
- Try-it Activities
- Live Office Hours
- Assignments
- Excel Exercises
- Discussion Boards
- Industry Examples
Duration: 6 weeks, 4-6 hours/week
Delivery: Online: Self-paced Videos + webinars, cohort
Certification - Upon successful completion of the program, you will earn a digital certificate of completion from the Wharton School.
Pricing:
Non-Members US$2600
AMI Members US$2210 (15% discount)
CPD points: 100
Cohort Dates:
This course runs 3 - 4 times a year. The next cohorts are starting:
12 September
5 December
Trainers details
Noah Gans, Phd Anheuser-Busch Professor of Management Science; Professor of Operations, Information and Decisions, The Wharton School
Senthil Veeraraghavan, Phd Panasonic Professor of Manufacturing and Logistics; Professor of Operations, Information and Decisions, The Wharton School
Emeritus is an AMI Partner. We are happy to offer the course to our members with an exclusive discount.
