business intelligence application solutions

The number of components and data stored by the hotel determines the general data structure inside the organization. Some hospitality businesses may need a separate module for yield management, some don’t, combining it with RMS. If you look at the whole industry, various types of PMS structures can be found. Each of these modules can also serve as a source of data, whether it’s website analytics, a supply management system, or housekeeping. On the diagram above you can see the structure of a PMS and its modules. A Property Management System (PMS) and its modules like a Revenue Management System (RMS) or Central Reservation System (CRS), and channel management can be thought of as the main sources of data in hospitality.

A data source can be any internal/external system that contains valuable data about your business, metrics, customer information, etc. Business intelligence in hotels: sources of data and componentsīefore we begin discussing the actual use cases of BI, let’s have a look at the key components of all BI systems and which data sources can be used across hotels.īusiness intelligence systems take charge of extracting data from various sources, transforming it, collecting it in a centralized repository, and finally querying this repository to present data as meaningful charts and diagrams for humans to put to use. We’ll also have a look at the providers’ market for a clear view on the functionality offered. We’ll define the peculiarities of business intelligence for hospitality, the benefits it gives to the businesses, and the pitfalls of integration with industry-specific systems. Today, we’ll look at the specifics of using BI in the hotel industry. It’s a set of tools made for collecting data from multiple sources and transforming raw information into a meaningful form. As business grows, these become impossible to analyze and keep track of manually or by using spreadsheets.īusiness intelligence (BI) exists to address the problem of capturing and understanding data. The sources range from inventory to distribution channels, from customer behavior data to housekeeping records. And hospitality is no exception: The hotel industry, by its nature, operates large amounts of data. Justifying investments in BI Reading time: 11 minutesĭata analytics is one of the key directions for digital transformation in various industries, travel included.What are the challenges of integrating business intelligence in the hotel industry?.Revenue management and advanced pricing strategies.Business intelligence use cases for hotels.Business intelligence in hotels: sources of data and components.

Business intelligence application solutions