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Business observability and the travel and hospitality industry: a key to successful recovery

Dynatrace

The importance of factors such as price, safety, convenience, change fees, loyalty points, entertainment – the list can be very long – varies from one customer to the next, and may even change from visit to visit. The airline : My preferences for a recent long-haul flight included price and the availability of aisle seats.

Airlines 215
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Business observability and the travel and hospitality industry: a key to successful recovery

Dynatrace

The importance of factors such as price, safety, convenience, change fees, loyalty points, entertainment – the list can be very long – varies from one customer to the next, and may even change from visit to visit. The airline : My preferences for a recent long-haul flight included price and the availability of aisle seats.

Airlines 182
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A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

The Netflix TechBlog

Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. We talked to scientists from areas like Payments & Partnerships, Content & Marketing Analytics Research, Content Valuation, Customer Service, Product Innovation, and Studio Production.

Analytics 207
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Netflix: A Culture of Learning

The Netflix TechBlog

There is broad buy-in across the company, including from the C-Suite, that, whenever possible, results from A/B tests or other causal inference approaches are near-requirements for decision making. As a company, we aim to be curious, and to truly and honestly understand our members around the world, and how we can better entertain them.

Education 238