Data Mining Applications in the Hospitality Industry

作者: S Kim , Li-Chun Lin , Y Wang

DOI: 10.4018/978-1-60566-010-3.CH064

关键词: LoyaltyData miningDatabase marketingMarketingHospitality industryCompetitive advantageBusinessData warehouseHospitalityProfiling (information science)Customer relationship management

摘要: Some people say that “success or failure often depends not only on how well you are able to collect data but also convert them into knowledge will help better manage your business (Wilson, 2001, p. 26).” It is said the $391 billion restaurant industry generates a massive amount of at each purchase 2001), and once collected, such collected could be gigantic tool for profits. In hospitality industry, knowing guests in terms where they from, much spend money, when what it can managers formulate marketing strategies, enhance guest experiences, increase retention loyalty ultimately, maximize Data mining techniques suitable profiling hotel customers due their proven ability create customer value (Magnini, Honeycutt, & Hodge, 2003; Min, Min Emam, 2002). Furthermore, if uses processes as collecting, storing, processing data, get strategic competitive edge (Griffin, 1998). Unfortunately, however, behind using compared retail grocery industries (Bogardus, 2001; Dev Olsen, 2000). Therefore, there need learning about systems industry. The purpose this paper show applications systems, present some successes and, turn, discuss benefits from

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