Media Coverage

A few of Mickey Mouse’s pals within a division of The Walt Disney Company have been working on a method to better target marketing by learning more about consumers’ personalities. Research scientist Maarten Bos has worked on ways to better understand audience personality and how ads can be tailored to them based on the images used, a topic he presented on at the recent 2017 INFORMS Business Analytics Conference.

Maarten Bos, a research scientist at Disney Research, helped conducted studies - which were the topic of his presentation at the 2017 INFORMS Business Analytics Conference - about tailoring ads that are both appealing and effective. Personality types vary, which suggests that tailored advertisements may be appealing and effective. In a series of studies, Bos helped investigated both the image preferences of individuals as well as responses to a personality questionnaire.

Nor1's Vice President, Technology, Kirby Bosch and Senior Vice President, Global Gaming, Pavan Kapur will illustrate this leading-edge approach during their presentation "Practical Approaches Using Customer Web Behavior to Maximize Hospitality and Gaming Revenue"  at the INFORMS 2017 Business Analytics Conference, Caesars Palace, Las Vegas. This informative session will focus on the business opportunity for individualized pricing as well as the technology stack needed to put the practice into production. It will also highlight the use of machine learning algorithms to calculate consumer price elasticity in real time to boost hotel room revenue.

The Rainmaker Group will present a step-by-step approach to total revenue optimization for casino and gaming properties at the INFORMS 2017 Business Analytics Conference, being held at Caesars Palace in Las Vegas, April 2-4. During this strategic session, Angie Dobney, Rainmaker’s vice president of pricing and revenue management services, will detail the data-driven methodology behind the total revenue management approach that has been successfully implemented by many casino properties in recent years. 

Suresh Acharya, INFORMS member and head of JDA Labs, discusses how, thanks to a shift in focus from "stuff" to "people," data science and machine learning are poised to take retail to new levels of efficiency, profitability, and customer satisfaction.