Data Analysis and Visualization for the AirBNB User Pathways

  • Sneha Jain MBA students Prestige Institute of Management and Research, Gwalior (MP)
  • Shivangi Sharma MBA students Prestige Institute of Management and Research, Gwalior (MP)
  • Mamta Sharma Assistant professor Computer Science, Prestige Institute of Management and Research, Gwalior (MP)
  • Palash Sharma Assistant professor Computer Science, Prestige Institute of Management and Research, Gwalior (MP)
DOI: https://doi.org/10.21844/https://doi.org/10.21844/mijia.20.1.5
Keywords: AirBNB, Pathways, Online Platform, Data Visualization

Abstract

This study examines how AirBNB utilizes user pathway information to enhance customer satisfaction. AirBNB, a quickly growing online
platform for housing, prioritizes user satisfaction by constantly enhancing its interface and features. This method heavily depends on
analyzing data. By analyzing user paths, AirBNB gains insights into user behavior and preferences. This information is used to improve
search recommendations, make booking smoother, and identify areas needing enhancement. In conclusion, AirBNB aims to provide a
smooth and satisfying customer experience through their data-driven strategy.

Published
2024-12-18
How to Cite
Sneha Jain, Shivangi Sharma, Mamta Sharma, & Palash Sharma. (2024). Data Analysis and Visualization for the AirBNB User Pathways. Management Insight, 20(01), 42-50. https://doi.org/10.21844/https://doi.org/10.21844/mijia.20.1.5
Issue
Vol. 20 No. 01 (2024): Management Insight
Section
Articles

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