CASE STUDY

Predict Potential Insurance Buyers

Company Overview

Platform for re-selling hotel rooms after cancellations.

Business Case

Predict whether a client will buy insurance according to reservation details.

Data

Big data – 5.6M entries, 61 features.

Data comprised of reservation from the last 3 years. The first 2 years include only insurance buyers.

Features in the data include:

  • Hotel details: name, country, longitude, and latitude
  • Temporal variables: check in, check out, created date
  • Reservation platform: partner, language, currency
  • Prices and fees

Tools

R programming language

Business Impact and Insights:

  • Characterizing reservations and insurance buyers
  • Model for targeting potential buyers
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