Travel Industry Data Lake / Data Warehouse with Improved Data Quality
Travel Industry Data Lake / Data Warehouse with Improved Data Quality
OVERVIEW
Headquartered in Seattle (Washington), Expedia Group, Inc. is a leading online travel company that owns and operates travel fare aggregators and travel metasearch engines, such as Expedia.com, Hotels.com, Vrbo, Travelocity, Hotwire.com, Orbitz, Ebookers, CheapTickets, CarRentals.com, Expedia Cruises, Wotif, and Trivago.
Expedia - Increase Diversity & Improve Data Quality
- Expedia needed an AI partner that could build Machine Learning models using their HR data combined with outside world dataset.
- Expedia wanted to increase gender diversity at an organizational level on each department and on each job profile.
- Expedia wanted to identify most suitable candidates by age for each job profile.
Expedia – Recommendation System
- Expedia’s recruitment team wanted to improve their recruiting KPIs.
- They saw an opportunity to potentially use AI to improve the hiring rate of their pipeline of candidates.
- At People Tech, we suggested identifying different ways to make use of runner-up candidates.
SOLUTION PROVIDED BY PEOPLE TECH GROUP
- HR data was collected from various apps and data sources around the globe. Hence, it had ~23% missing / incorrect data.
- People Tech identified strong signal data features for each use cases.
- Exploratory Data Analysis revealed many important insights and patterns on the combined dataset.
- People Tech consumed Census (around the globe), LinkedIn and other open datasets, which helped to achieve the best prediction.
- Deep Learning Algorithms (RNN, LSTM) and Tensor Flow were used for development.
- People Tech team identified important data elements from HR, Recruitment and Engineering projects.
BENFITS
Expedia - Increase Diversity and Improve Data Quality
- Successfully achieved over 92% Accuracy in key use cases which surpassed expectations. The resulting clean dataset was utilized to drive diversity initiatives.
Expedia – Recommendation System
- Deep Reinforcement learning helped to achieve ~91% confidence level over a period.
“People Tech nailed the use cases; Increased our profile completeness and delivered data accuracy that exceeded our expectations.”
– Senior Director, People Analytics
