Abstract

Designing hotel and restaurant business facilities is a complex task that involves the integration of functionality, comfort, and design to ensure high-quality service and customer satisfaction. Important in this process is the ability to make informed decisions regarding placement, interior, menu, and other aspects of activity based on objective data. One way to achieve this is through statistics and information technology. Technologies of data processing and statistical analysis in the field of service are indispensable tool for determining efficiency, improving, processes and ensuring customer satisfaction at the highest level. Statistical analysis allows you to identify patterns and dependencies occurring in the hotel and restaurant business, based on a large amount of data. The selection and analysis of this data help to understand the demand for services and products, the popularity of specific dishes, the effectiveness of spatial planning, and much more. Analysis of consumer demand allows us to adapt the object to the real needs and requirements of customers. This can concern both the placement of restaurant areas and rooms and the creation of additional services that would satisfy them. The article examines the technologies of geoinformation systems that allow creating different location scenarios and evaluating their effectiveness, examples of their use in the design of hotel and restaurant business facilities are given. In general, the use of data processing technologies and statistical analysis helps to improve the efficiency of various aspects of service, from the optimization of resources and processes to the development of personalized approaches and innovative strategies. This becomes an integral part of the modern approach to management and development of the service sector. The article provides examples that demonstrate how statistical analysis and information technology help service companies to manage inventory effectively, ensure service quality and reduce costs, automate processes, collect and analyze data, make informed decisions for business development.

Full Text
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