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Hotel Management Service Provider Builds Better, More Profitable Guest Relationships
技术
- 分析与建模 - 大数据分析
- 分析与建模 - 预测分析
适用功能
- 商业运营
- 销售与市场营销
用例
- 库存管理
服务
- 数据科学服务
- 系统集成
挑战
The hotel industry faces significant challenges with scattered and inconsistent data sets from multiple sources, making it difficult to centralize IT and gain meaningful insights. Property management businesses often use on-site, Windows-based hardware that requires dedicated maintenance personnel, further complicating data integration. Bahadour Moussa, a Technology Evangelist, recognized the need for a BI tool that could store, clean, and prepare data before visualization, enabling hotels to analyze guest behavior and enhance their experience. The search for a suitable BI tool led to the discovery of Sisense, which met the criteria of ease of use, attractive UI, and the ability to connect to complex data sources without requiring ETL work.
关于客户
Boost-inn is a leading hotel management solution provider that helps customers manage multi-property mid-size hotels. They offer an integrated platform that connects to the entire hotel IT ecosystem and now includes business analytics. Their customers are small and medium-sized businesses (SMBs) in the hospitality industry, struggling with scattered and inconsistent data sets and a lack of centralized IT. Boost-inn's platform aims to address these challenges by providing a comprehensive solution that enhances guest engagement and operational efficiency. With a focus on the hospitality sector, Boost-inn serves over a dozen luxury hotel clients across France, managing data for more than 400 rooms per hotel and handling approximately 50,000 reservations annually.
解决方案
Boost-inn integrated Sisense into their hotel management platform to address the challenges of scattered data and lack of centralized IT. Sisense's intuitive UI and ability to connect to multiple complex data sources without requiring ETL work made it an ideal choice. After a successful proof of concept, Boost-inn implemented Sisense across their client hotels, enabling them to analyze guest behavior and operational data. This integration allowed hotels to gain insights into guest preferences, dining habits, and other activities, helping them make data-driven decisions to enhance guest experiences and improve operational efficiency. Sisense's analytics capabilities also enabled hotels to identify regular guests, create targeted marketing strategies, and optimize inventory management in their Food and Beverages departments.
运营影响
数量效益
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