Cindy Heo

Assistant Professor of Reveneu Management at Ecole hôtelière de Lausanne

Cindy  Heo

Dr. Cindy Y. Heo joined EHL as an Assistant Professor in 2014. Before joining EHL, she has taught at the Hong Kong Polytechnic University as an assistant professor since 2010 and at Temple University in the U.S. for two years. She also taught revenue management course at University of Angers in France as a visiting professor. She has been an editorial board member in Journal of Tourism Studies and International Journal of Tourism and Hospitality Research and is an ad-hoc reviewer for several international journals including International Journal of Hospitality Management and Cornell Hospitality Quarterly. Before joining academia, Dr. Heo worked in strategic marketing department of Samsung Everland in Korea for four years and has extensive experience within the tourism and hospitality industries including hotels, restaurants, and travel agencies.

More about Cindy Heo

Insights by Cindy Heo (4)

Hotel Revenue Management: Strategies for the Future

Last December, over a 100 industry experts and scholars attended the 3rd Revenue Management & Pricing in Services Conference (2019 RevME Europe), hosted by the Ecole hôtelière de Lausanne in collaboration with The University of Applied Sciences and Arts of Western Switzerland (HES-SO), STR, Hotel Performance and Room Price Genie.

Hotel Revenue Management: 3 Trends Revenue Managers Need to Know

The demand for talented resources in hotel revenue management and experts who can apply data analytics to predict consumer behavior and optimize hospitality business is increasing fast.

Revenue management: Using data integration to move from tactics to strategy

As the practice of revenue management continues to evolve, industry professionals should increasingly look to use their RM systems and processes strategically and move away from tactical operations. Integrating data from the various systems and resources is an important first step.

Revenue management: Capturing untapped potential

Industry practitioners and revenue management (RM) educators, meeting recently in Orlando in the U.S., are in agreement: there is a great shortage of well-qualified revenue managers. Competent revenue managers should be not only able to use data analytics to predict customer behavior and proactively formulate RM and pricing strategy, but they should also possess the necessary communication, decision-making and leadership skills required to help companies to maximize revenue.