miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Business Intelligence in Tourism
University of Applied Science Ravensburg Weingarten.
Mid Sweden University, Faculty of Human Sciences, Department of Social Sciences.
2020 (English)In: Handbook of e-Tourism / [ed] Phil Zheng Xiang, Matthias Fuchs, Ulrike Gretzel, Wolfram Höpken, Springer Publishing Company, 2020Chapter in book (Refereed)
Abstract [en]

Business Intelligence encompasses all activities dealing with collecting, storing/managing and analyzing business-relevant data with the objective of generating knowledge as input to decision support. Business Intelligence is often used as an umbrella term for data warehousing, reporting & OLAP (online analytical processing), MIS/DSS and data mining, respectively. If we encounter all topics listed above, it is obvious that business intelligence has a quite long history also in the tourism domain. As early examples in tourism, we can identify the DINAMO system introduced by American Airlines already in 1988 or TourMIS in 1998. The widespread use of ICT and, especially the uptake of the Internet and social media, led to an increase of available data on customers, competitors and the whole market in all major business domains, thus, in tourism, as well. More powerful hardware and sophisticated methods to store and analyze such data turned business intelligence into one of the fastest growing technologies and most challenging areas in the last decade. This chapter gives an overview on the topic of business intelligence and all technical components of a BI architecture (i.e. information extraction and transformation, data warehousing, and different mechanisms and tools to access and analyze data, like reporting or OLAP tools, dashboards, or data mining toolsets). Moreover, the chapter looks at the history of BI in tourism, presents and discusses typical application scenarios in tourism. Finally, we look at current trends and latest developments in the area of business intelligence and their expected implications for the tourism domain.

Place, publisher, year, edition, pages
Springer Publishing Company, 2020.
Keywords [en]
Business Intelligence, Data Warehousing, Data Analysis, Online Analytical Processing, Management Information Systems, Decision Support Systems
National Category
Social Sciences
Identifiers
URN: urn:nbn:se:miun:diva-37888OAI: oai:DiVA.org:miun-37888DiVA, id: diva2:1375446
Available from: 2019-12-05 Created: 2019-12-05 Last updated: 2019-12-05

Open Access in DiVA

No full text in DiVA

By organisation
Department of Social Sciences
Social Sciences

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 184 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf