Multidimensional Analysis of Booking Data in Hospitality Industry using Data Warehousing Techniques

INTI Journal; Vol.2024:54

Đã lưu trong:
Sonraí Bibleagrafaíochta
Những tác giả chính: Mai, Lam, Nguyen, Duc Hien
Formáid: Bài viết
Teanga:English
Foilsithe: INTI Journal 2025
Ábhair:
ETL
Rochtain Ar Líne:https://elib.vku.udn.vn/handle/123456789/5824
Clibeanna: Cuir Clib Leis
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Thư viện lưu trữ: Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng
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spelling oai:elib.vku.udn.vn:123456789-58242025-11-15T10:50:42Z Multidimensional Analysis of Booking Data in Hospitality Industry using Data Warehousing Techniques Mai, Lam Nguyen, Duc Hien hospitality industry customer behaviors ETL OLAP multidimentional data INTI Journal; Vol.2024:54 Understanding customer behaviors is essential for optimizing pricing strategies, enhancing guest experiences, and effectively meeting demand in the hospitality industry. This study presents the development of a data warehouse system designed to analyze hotel booking behaviors. Using ETL processes, reservation data from diverse sources is consolidated and standardized to enable comprehensive analysis. Then, multidimensional analyses of booking frequency and transaction value reveal key customer preferences and behavioral patterns. A real-world dataset comprising 119,390 records spanning from July 1, 2015, to August 31, 2017, was utilized to validate the system. Multidimensional analyses revealed that 70% of bookings occurred during peak seasons, with transaction values averaging 25% higher compared to off-peak periods. Additionally, customers who booked via direct channels displayed a 20% higher retention rate. The results validate the proposed system's capability to provide actionable intelligence, driving effective business strategies and supporting predictive modeling in the hospitality industry. 2025-11-15T10:50:30Z 2025-11-15T10:50:30Z 2024-12 Working Paper 2600-7320 (e) 1675-0284 (p) https://elib.vku.udn.vn/handle/123456789/5824 en application/pdf INTI Journal
institution Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng
collection DSpace
language English
topic hospitality industry
customer behaviors
ETL
OLAP
multidimentional data
spellingShingle hospitality industry
customer behaviors
ETL
OLAP
multidimentional data
Mai, Lam
Nguyen, Duc Hien
Multidimensional Analysis of Booking Data in Hospitality Industry using Data Warehousing Techniques
description INTI Journal; Vol.2024:54
format Working Paper
author Mai, Lam
Nguyen, Duc Hien
author_facet Mai, Lam
Nguyen, Duc Hien
author_sort Mai, Lam
title Multidimensional Analysis of Booking Data in Hospitality Industry using Data Warehousing Techniques
title_short Multidimensional Analysis of Booking Data in Hospitality Industry using Data Warehousing Techniques
title_full Multidimensional Analysis of Booking Data in Hospitality Industry using Data Warehousing Techniques
title_fullStr Multidimensional Analysis of Booking Data in Hospitality Industry using Data Warehousing Techniques
title_full_unstemmed Multidimensional Analysis of Booking Data in Hospitality Industry using Data Warehousing Techniques
title_sort multidimensional analysis of booking data in hospitality industry using data warehousing techniques
publisher INTI Journal
publishDate 2025
url https://elib.vku.udn.vn/handle/123456789/5824
_version_ 1849386411180949504