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How Disney World Uses Big Data
How Disney Uses Data/Behavioral Analytics To Improve Its Business

Disney has combined Data Analytics and it’s theme parks into one to create a more personal and supreme magical entertainment experience for guests at Walt Disney World. Disney collects a lot of data, and all of this data mining allows Disney to understand past behavior and make personalized offers using predictive analytics. This is called behavioral analytics.
Behavioral analytics is an area of data analytics that focuses on providing insight into the actions of people. Behavioral analytics is used in ecommerce, gaming, social media, and other applications to identify opportunities to optimize in order to realize specific business outcomes.
A visit to Disney World today can be magical, but planning the trip there used to be anything but . Guests would have to book the trip, find a hotel and buy tickets separately. Then , the tickets had to be printed and brought to the park every day. Once guests got into the theme park, guests had to find a map, plan out the day, and figure out how to find everything. Once the guests eventually found the correct place, they would have to wait in a very long line.
In 2013, Disney World introduced the MagicBand with the MyMagic+ initiative which helped Disney accommodate 3,000 additional daily visitors. The wristband unlocks many goodies at the resort. Unlike a few years ago, guests can now experience a remarkably friction-free visit. A stay at Disney World now includes customized itineraries, digital maps on the phone, your magic band is your ticket & hotel key and zero lineups through reservations and Fast Passes.
One of the main projects Disney uses to gather data is the MyMagic+ initiative which combines (FastPass+ , Magic Bands, and My Disney Experience )
Let’s take a look at how Disney World uses data analytics to create magical experiences for guests, and the people behind it.
The Board
Disney has some big tech players on it’s board, so it is safe to assume that this entertainment juggernaut will continue using big data and machine learning to maximize the customer experience.