Becky Gandillon
Hacking Your Vacation: Using Data for Fun
#1about 4 minutes
Introduction to data-driven vacation planning
The core goals for a successful Disney vacation are to avoid crowds, save money, and maximize enjoyment by using a data-driven approach.
#2about 5 minutes
Why planning a Disney vacation is a complex data problem
Manually planning a trip is nearly impossible due to the vast number of variables like park capacity, attendance, ticket costs, and attraction popularity.
#3about 6 minutes
Identifying key data sources for vacation optimization
Effective predictions rely on diverse data sources including school calendars, economic trends, scraped wait times, and user-submitted feedback.
#4about 8 minutes
How to predict park crowds and attraction wait times
A crowd calendar provides a high-level view, but the core predictions are granular wait time curves for every attraction on five-minute increments.
#5about 7 minutes
Creating a step-by-step optimized park itinerary
A live demo shows how to use a web tool to generate an optimized touring plan that minimizes waiting by sequencing attractions intelligently.
#6about 2 minutes
Why a mobile app is crucial for real-time optimization
A static printed plan is fragile, so a mobile app is used to re-optimize the itinerary throughout the day using real-time wait time data.
#7about 6 minutes
Using data to decide if Genie+ is worth the cost
By analyzing time saved versus cost, you can determine the actual value of upcharges like Genie+ and Individual Lightning Lane for different parks and crowd levels.
#8about 7 minutes
Choosing hotels and restaurants based on cost vs satisfaction
Scatter plots comparing user satisfaction ratings against average cost help identify the best value hotels and restaurants, avoiding expensive disappointments.
#9about 2 minutes
Future ideas for personalized vacation planning
The presentation concludes by exploring future possibilities, such as a recommendation engine that learns user preferences in real-time to suggest the next attraction.
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Matching moments
01:57 MIN
Presenting live web scraping demos at a developer conference
Tech with Tim at WeAreDevelopers World Congress 2024
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05:13 MIN
Live demo of data analysis with DataWorks
Alibaba Big Data and Machine Learning Technology
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01:20 MIN
Showcasing a prototype app built on the data hub
PoC “Austria Experience Data Hub”
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03:49 MIN
Empowering data scientists to uncover hidden business insights
Coffee with Developers
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03:02 MIN
Using predictive analytics for proactive workforce planning
Beyond Gut Feelings: The Rise of Data-Driven HR
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04:32 MIN
Using data to align game design with player experience
How Data is Shaping our Games
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04:35 MIN
Using data science as a foundation for software analytics
Data Science on Software Data
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02:32 MIN
Using design to create workarounds for bad data
Design as an algorithm, not as a feature
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