Important hotel data
RateBoard offers a wide range of tools for tracking your key performance indicators on a daily basis and supports you in making operational and strategic decisions. Large volumes of data are presented in a user-friendly way, providing valuable insights into developments and trends in your hotel’s performance. You can carry out targeted comparisons as well as generate detailed reports and analyse KPIs from various perspectives. You can also use custom presets for your regular reporting. This article provides an overview of the analysis tools in RateBoard.
Tip:
This article introduces the tools for analysing hotel data. Read this other article to learn how to evaluate relevant market data: Analyse market trends
Analysis tools for hotel data in RateBoard
To evaluate the large volumes of data from your PMS in a comprehensive and focused manner for your revenue management purposes, RateBoard offers several specific analysis pages:
Dashboard
Hotel data
Comparison
PickUp analysis
Budget analysis
Reputations
The dashboard is the landing page where you can immediately view the latest status of your key performance indicators from a high-level perspective. Revenue, occupancy, ADR, RevPAR and many other metrics are available clearly and visually presented on a single page. The selection of data covers all key categories relevant to your day-to-day operations – for example, occupancy and pick-up over the last seven days, short-term revenue trends for the current month or year, and much more.
Click here for the article explaining the meaning of the individual tiles:
Hotel data
The Hotel Data analysis page helps you answer questions regarding the development of your business figures. The database not only includes historical data and the “on-the-books” (OTB) status, but also visualises the forecast generated by RateBoard, if the data situation is sufficiently stable.
The page provides you with tools to take a deeper dive into performance using the most important KPIs and to present these graphically according to your needs. You can quickly and easily gain an overview of a specific time period, including active rates, in the main chart, or go into greater depth with detailed analyses using filters and distributions.
This article describes use cases and how you can use the individual components of the page to create your own analytical perspective on the individual KPIs:
Comparison
The ‘Comparison’ analysis page allows you to compare two date ranges. By comparing the key KPIs of a relevant time period with a reference period, you can identify deviations and behavioural patterns. This period comparison provides clarity on the effectiveness of implemented measures and helps to identify negative trends at an early stage and take proactive countermeasures.
This article explains how hotel data from entire timeframes and periods can be compared:
PickUp analysis
The PickUp Analysis focuses on the development of completed bookings and cancellations over the short and long term.By analysing PickUps, you can, for example, see how high the booking pace is compared to the past two years, or how effective marketing measures have been.
You can also find out which times and room categories demand will be particularly concentrated on in the upcoming months and adjust your pricing strategy accordingly if necessary..
You can find out more here: PickUp analysis
Budget analysis
The Budget Analysis Tool offers a wide range of functions and filters that allow you to achieve maximum transparency across all performance-oriented hotel metrics. The tabular layout can be customised to your needs and, thanks to a variety of filter options, enables both high-level reports and detailed performance analyses.
You can also incorporate your own targets or use personal presets for your regular reporting.
Detailed instructions are available here: Budget analysis
Reputation
Find out what guests think of your hotel in the Reputation Analysis. This page provides a comprehensive overview of your hotel’s current and historical reviews across all major review platforms. The data is presented in a user-friendly, aggregated format, focusing on the essentials.
For details, see Reputation