Applies to:          Stayntouch PMS          

Analytics Dashboards

With Stayntouch PMS, you have the option to switch between Housekeeping, Front Office, and General analytics and view detailed statistics for these departments. The intent of these analytics types are to provide a platform for hotel employees in various leadership roles to have better visibility of the important operational data in their respective areas in a way that is easily consumable and customizable. With that said, below is an explanation of each analytics type. 

Housekeeping Analytics

Housekeeping analytics are, as the name implies, used primarily by Housekeeping management to provide an Overview of the current “state” of the property in terms of room status. The Priority view offers a more focused view of arrivals, vacancies, and departures, allowing the Housekeeping Manager to shift resources as needed to respond to evolving business needs.  

If you select Overview, you’ll find a Housekeeping overview split by Performed and Remaining, so you can see your statistics at any given point during the day. 

On the Performed side, you’ll see a record of arrivals that have checked in, departures that have checked out, clean stayovers, as well as clean and inspected rooms. 

The Remaining side includes a record of arrivals, departures, dirty stayovers, as well as dirty and pick-up rooms. 

Similarly, the dashboard is organized into two logical areas, top to bottom, with the two upper rows representing hotel/Front Desk-related activity directly impacting Housekeeping, and the bottom two rows representing the Housekeeping-related information. Housekeeping information is split between stayovers (occupied rooms) and departed, or otherwise vacant rooms, and their progress. 

Effectively, this dashboard provides a quick overview of where the work is at a high level. 

You can also choose to filter by ROOM TYPE.

Please note, Housekeeping analytics can be filtered by ROOM TYPE on the Overview level as well as by Priority.  

So far, we have discussed the Overview level, but from the Priority level, you’ll notice a few variations. This dashboard is sorted by the following: 

• Arrivals: 

  • CHECKED IN 

  • EARLY CHECK-IN 

  • REMAINING 

• Vacant: 

  • DIRTY  

  • PICK-UP 

  • CLEAN 

  • INSPECTED 

  • SHORT: This only appears when there is a shortage of rooms.  

• Departures: 

  • CHECKED OUT 

  • PENDING 

  • LATE CHECK-OUT 

The Arrivals statistics provide an immediate overview of how many reservations still need to be accommodated and how many of these may be more imminent early arrivals. 

Directly below, you can correlate the corresponding room statuses for Vacant rooms and get an immediate visual understanding of potential shortfalls that are under the department’s control. The shortfall (SHORT) bar is dynamically computed and capped at the maximum possible accommodation. If it is less than the pending arrivals, Front Office analytics enable the Front Desk to quickly ascertain who needs to be moved to different categories. 

You’ll notice from the ROOM TYPE dropdown menu, we’ve stacked room types to show those with the greatest number of short rooms on top. We’ve included this feature so it is easily discernible on which room types your cleaning crews need to focus and how many are already vacant but not yet ready to accommodate pending arrivals for the category. 

Front Office Analytics

Front Office analytics consist of both an Arrivals view as well as an Activity view. The intent of these dashboards are to gain a quick visual understanding of the inflow and outflow of guests as well as corresponding room statuses. The Arrivals view is a tool to allow the Front Desk Manager to instantly assess the state of business in the hotel. This view offers a look at Housekeeping statistics in terms of vacant rooms. 

On the Performed side, you’ll see a record of arrivals that have checked in, departures that have checked out, as well as dirty, pick-up, and clean rooms. If your hotel does not use the inspected status, clean rooms will be shown on the right. 

The Remaining side includes a record of early check-in and remaining arrivals, pending and late check-out departures, as well as inspected and overbooked rooms. 

Both Housekeeping and Front Office analytics provide visibility into what is occurring at the Front Desk or where the hotel stands with available rooms. Front Office analytics quickly allow Front Desk agents to see where they are and where they might be having potential challenges. 

Again, you can also choose to filter by ROOM TYPE. 

You’ll notice from the ROOM TYPE dropdown menu that we’ve stacked room types to show those with the greatest number of overbookings on top. We’ve included this feature so it is easily discernible which areas require your attention. Overbookings are computed dynamically, indicating the number of arrivals in the category that need to be accommodated differently.  

The Activity view shows a breakdown of the cadence of arrivals and departures over the course of the day, further split by the type of arrival or departure. This is a great tool for seeking a historical view of cadence for the hotel and helps identify possible trends and cycles and plan for staffing needs in the department. 

Once again, you can also filter by ROOM TYPE for a further breakdown. 

Please also note, when selecting filters, you can select a checkbox to SHOW YESTERDAY’S DATA, which will show yesterday’s data alongside today’s data. 

General Analytics

General analytics are primarily intended to help users understand trends and make informed business decisions from current and historical data. The key areas covered are Room Performance, Distribution, and Pace. 

Room Performance provides insight into the RevPAR, ADR, and occupancy for day, month, and year comparisons in a single screen, thus informing critical business decisions around booking and rate strategy. This display provides a quick overview of key performance indicators (KPIs). This is generally what a General Manager or Revenue Manager would use and provides a clear view of ADR and RevPAR for yesterday, today, MTD, and YTD. 

The internal quadrant depicts your hotel’s occupancy by percentages. 

If you click the filter icon, you can select a checkbox for SHOW LAST YEAR INFORMATION and choose between the Same DATE Last Year, Same DAY Last Year, or Mixed.

When comparing to last year using SAME DATE, Stayntouch PMS compares information from exactly a year prior, while SAME DAY will find the same weekday that is closest to the same date a year prior. Revenue Managers, in particular, will like the MIXED setting, which uses the SAME DAY for individual daily comparisons in the upper quadrants and SAME DATE for cumulative comparisons of the lower quadrants. 

Furthermore, if you select one of the dots indicated within the quadrant, you can view the ACTUAL recorded number for that specific date. 

Next, let’s have a look at the Distribution view. Distribution shows the mix of business through a combination of the four different chart types below. These chart types are aggregated by several key facets of the business and provide a powerful planning tool. 

Distribution provides a greater understanding of the nature of your business mix. By default, today and the last seven days are included in the graph, and each day is represented by one stacked bar. You may pick any date range, using the filter button. You can choose to view Occupancy, Occupied Rooms, ADR, RevPAR, or Room Revenue, and then aggregate the information by ROOM TYPE, MARKET, SOURCE, SEGMENT, or ORIGIN. This dashboard also includes several filter options that allow you to separate the data any way you segment your business and to hone in on particular subsets of your business mix.  

You can also toggle between CHART and GRID view for the Distribution view. You can complete a CSV export of GRID view.  

For all distributions, the data returned will include data for all chart types. Rows are defined by CHART TYPE and AGGREGATED BY combinations. All rows will be returned, even if the cell content is zero. Each cell contains the measure corresponding to the CHART TYPE and AGGREGATED BY combination. 

The Pace view illustrates the distribution of booking activity over the course of a date range and allows for adjustments to booking strategies. It helps managers gauge where they may need to stimulate or throttle demand using pricing and availability levers. By distinguishing between ON THE BOOKS, NEW, and CANCELLATION data, managers can also rapidly assess the efficacy of such actions and fine tune them accordingly. Pace data is computed dynamically in real-time and can be separated in the same way as the Distribution view. 

You may pick any date for which to view data. This dashboard also includes several filter options that allow you to separate the data any way you segment your business and to hone in on particular subsets of your business mix. 

You can also toggle to a LINE graph view, where you can select a date or multiple dates to be displayed as a single net combined line per date. This graph will show all dates that intersect with the date range selected. An additional line will show the average of other values. If, for example, there are six values selected, the seventh value will show an average of the proceeding values.

You can also filter by the following data types:

• ROOM TYPE

• MARKET

• SOURCE

• SEGMENT

• ORIGIN

You can also save custom filter combinations for the Pace view (for both CHART and GRID).

You’ll also notice zoom capability on the Pace view. This was implemented to make it easier to view large sets of data. Simply drag and drop the black bar below the main graph to narrow down the set of data you wish to view. You can zoom into a few dates or even one date to view hourly data.