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نتیجه جستجو - Client profile

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 Using big data from Customer Relationship Management information systems to determine the client profile in the hotel sector
استفاده از داده های بزرگ حاصل از سیستمهای اطلاعاتی مدیریت رابطه با مشتری برای تعیین ویژگی مشتری در بخش هتل-2018
Client knowledge remains a key strategic point in hospitality management. However, the role that can be played by large amounts of available information in the Customer Relationship Management (CRM) systems, when addressed by using emerging Big Data techniques for efficient client profiling, is still in its early stages. In this work, we addressed the client profile of the data in a CRM system of an international hotel chain, by using Big Data technology and Bootstrap resampling techniques for Proportion Tests. Strong consistency was found on the most representative feature of repeaters being traveling without children. Profiles were more similar for British and German clients, and their main differences with Spanish clients were in the stay duration and in age. For a vacation chain, these results suggest further analysis on the target orientation towards new market segments. Big Data technologies can be extremely useful for analyzing indoor data available in CRM information systems from hospitality industry.
keywords: Big data |Hospitality industry |Customer relationship management |Client profile |Bootstrap resampling |Hotel chains
مقاله انگلیسی
2 Using big data from Customer Relationship Management information systems to determine the client profile in the hotel sector
استفاده از داده های بزرگ از سیستم های اطلاعات مدیریت ارتباط با مشتری برای تعیین مشخصات مشتری در بخش هتل-2018
Client knowledge remains a key strategic point in hospitality management. However, the role that can be played by large amounts of available information in the Customer Relationship Management (CRM) systems, when addressed by using emerging Big Data techniques for efficient client profiling, is still in its early stages. In this work, we addressed the client profile of the data in a CRM system of an international hotel chain, by using Big Data technology and Bootstrap resampling techniques for Proportion Tests. Strong consistency was found on the most representative feature of repeaters being traveling without children. Profiles were more similar for British and German clients, and their main differences with Spanish clients were in the stay duration and in age. For a vacation chain, these results suggest further analysis on the target orientation towards new market segments. Big Data technologies can be extremely useful for analyzing indoor data available in CRM information systems from hospitality industry.
Keywords: Big data ، Hospitality industry ، Customer relationship management ، Client profile ، Bootstrap resampling ، Hotel chains
مقاله انگلیسی
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