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A Guide to Data Analytics in the Travel Industry

Alation

Below are a few examples: Revenue management and optimization Big data analysis enables companies to make data-driven decisions about pricing based on historical transactional data. Data analytics offers a comprehensive view of what is or isn’t working, and these insights can inform new business goals and drive revenue optimization.

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Your data’s wasted without predictive AI. Here’s how to fix that

CIO Business Intelligence

Route optimization in logistics Companies like UPS and FedEx use prescriptive algorithms to continuously optimize delivery routes, considering distance, traffic, weather and service level commitments. This section is about doing just that proving and communicating ROI in resonating ways. The differential becomes your ROI.