Business Intelligence Integration and Data Analytics for Enhanced Hospitality Management in Neptune Travel and Tours

The integration of Business Intelligence (BI) and data analytics is revolutionizing the hospitality industry by enhancing operational efficiency and customer satisfaction. This study focuses on Neptune Travel and Tours, presenting a comprehensive framework for implementing BI tools combined with descriptive and prescriptive analytics. By analyzing guest demographics, preferences, and resource allocation data, this research highlights how tailored BI solutions can optimize decision-making processes, improve service quality, and personalize guest experiences. The findings provide actionable insights into resource allocation, pricing strategies, and accommodation preferences, demonstrating the potential of data-driven decision-making in transforming hospitality management.

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Publication Details

Published
2025-04-26
DOI
https://doi.org/10.1109/ic4e65071.2025.11075406
Citations
2
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
4.57
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article

Business Intelligence Integration and Data Analytics for Enhanced Hospitality Management in Neptune Travel and Tours

Rodolfo C. Raga, Ronnel D. Palenzuela, Cyrus Rj W. Robles
2 citations
Big Data and Business Intelligence
4.57
article

Business Intelligence Integration and Data Analytics for Enhanced Hospitality Management in Neptune Travel and Tours

Rodolfo C. Raga, Ronnel D. Palenzuela, Cyrus Rj W. Robles
article en
2 citations

Abstract

The integration of Business Intelligence (BI) and data analytics is revolutionizing the hospitality industry by enhancing operational efficiency and customer satisfaction. This study focuses on Neptune Travel and Tours, presenting a comprehensive framework for implementing BI tools combined with descriptive and prescriptive analytics. By analyzing guest demographics, preferences, and resource allocation data, this research highlights how tailored BI solutions can optimize decision-making processes, improve service quality, and personalize guest experiences. The findings provide actionable insights into resource allocation, pricing strategies, and accommodation preferences, demonstrating the potential of data-driven decision-making in transforming hospitality management.

University of the Philippines Manila (PH)
Openalex Percentile: Top 5%
Big Data and Business Intelligence
4.57
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