Revenue optimization is at the core of today's competitive marketing and sales strategies — and the most successful organizations are adopting data analytics tools and techniques to make the smartest forecast and pricing decisions. This is why revenue analytics professionals and other marketing professionals with tactical skills in analytical tools are highly sought after today.
You'll gain comprehensive knowledge of revenue optimization concepts for decision making using statistical, optimization, and economic tools. This program will also prepare you for a new and lucrative career with hands-on experience in applying various analytics tools and techniques to solve optimization problems across industries.
Organizations are ready to hire. Are you ready to take the next step to advance your career in revenue management? Secure your place in Wharton's Revenue Analytics: Price Optimization online program today.
SOURCE: MARKETSANDMARKETS
Revenue Analytics: Price Optimization is designed to give participants hands-on experience in using data-analytics tactical tools for successful revenue-optimization strategies in a variety of business scenarios.
The program is ideal for:
Mid-to-senior management in business development, general management, and sales who are seeking new strategies for driving up business revenue and profitability
Category managers, product managers, and marketing managers who are challenged to develop new competitive strategies for revenue planning and management
Finance and revenue-planning managers who want to hone their forecasting of market trends and changes to support a more effective marketing strategy
Pricing analysts and business analysts who are challenged to design an elegant pricing approach for a product or service portfolio
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
Drive product revenue by applying sales strategies such as discounting and bundling
Use analytics to forecast trends, risks, and challenges in existing and new markets and create strategies to manage them
Assignments
Discussions
Excel Exercises
Industry Examples
Knowledge Checks
Live Office Hours
Reflections
Try-It Activities
Anheuser-Busch Professor of Management Science; Professor of Operations Information and Decisions, The Wharton School
Noah Gans is the Anheuser-Busch Professor of Management Science and professor of Operations, Information and Decisions at the Wharton School of the University of Pennsylvania....
Panasonic Professor of Manufacturing and Logistics Professor of Operations, Information, and Decisions
Professor Veeraraghavan teaches a course in operations strategy in the Operations, Information, and Decisions Department. He also conducts research on service operations, pric...
Associate Professor of Technology and Operations; Michael R. and Mary Kay Hallman Fellow, Stephen M. Ross School of Business
Professor Li is an associate professor of technology and operations at the University of Michigan’s Ross School of Business. She conducts research in empirical operations mana...
Get recognized! Upon successful completion of the program, the Wharton School grants a verified digital certificate of completion to all participants.
Note: After successful completion of the online program, your verified digital certificate will be emailed to you in the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of the Wharton School. This online certificate program does not grant academic credit or a degree from the Wharton School of the University of Pennsylvania.
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Flexible payment options available.
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