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Metric

Definition

LYTD Next Year Stay

The four metrics below are all related to reservations made before today's date of previous year, for the entire current year. These four metrics can be compared to YTD Next Year Stay.

LYTD ADR Next Year Stay
LYTD Occupany Next Year Stay
LYTD RevPAR Next Year Stay
LYTD Turnover Next Year Stay


LYTD Same Year Stay

The four metrics below are all related to reservations made before today's date of previous year, for the entire previous year. These four metrics can be compared to YTD Same Year Stay.

LYTD ADR Same Year Stay
LYTD Occupany Same Year Stay
LYTD RevPAR Same Year Stay
LYTD Turnover Same Year Stay


YTD Next Year Stay

The four metrics below are all related to reservations made before today's date, for the entire next year. These four metrics can be compared to LYTD Next Year Stay.

YTD ADR Next Year Stay
YTD Occupany Next Year Stay
YTD RevPAR Next Year Stay
YTD Turnover Next Year Stay


YTD Same Year Stay

The four metrics below are all related to reservations made before today's date, for the entire current year. These four metrics can be compared to LYTD Same Year Stay.

YTD ADR Same Year Stay
YTD Occupany Same Year Stay
YTD RevPAR Same Year Stay
YTD Turnover Same Year Stay


Accommodation Turnover

Net turnover of the booked accommodation, meaning the gross price of the booked accommodation minus specials and included reservedresources.

ADR

Average Daily Rate is calculated from two other metrics: Accommodation Turnover / Occupied, i.e. the average price per night paid by customers for the accommodations that are actually occupied.

Available

Number of available accommodations per day including occupied accommodations. This takes into account if there is rentabiilty configured. 
If client use reservations at Accommodation Type level then it is always 0 at the level of grain (i.e. accommodation aka unit).

Occupancy

Occupancy is calculated from two other metrics: Occupied / Available.

If client use only Accommodation level reservations, then in that case following examples shows Available, Occupied and Occupancy on any particular calendar date

Accommodation Type

Accommodation Level-5

Accommodation

Calendar Date

Reservation Id

Occupied

Available

Occupancy

Accommodation

Apartment-A

appt-1

01-01-2019

1234

1

1

100.00%

Accommodation

Apartment-A

appt-1

02-01-2019

1234

1

1

100.00%

Accommodation

Apartment-A

appt-1

03-01-2019

1234

1

1

100.00%

Accommodation

Apartment-A

appt-1

04-01-2019

1234

1

1

100.00%

Accommodation

Apartment-A

appt-1

05-01-2019


0

1

0.00%

Accommodation

Apartment-A

appt-1

06-01-2019


0

1

0.00%

Accommodation

Apartment-A

appt-1

07-01-2019


0

1

0.00%

Accommodation

Apartment-A

appt-1

08-01-2019


0

1

0.00%

Accommodation

Apartment-A

appt-1

09-01-2019


0

1

0.00%

Accommodation

Apartment-A

appt-1

10-01-2019


0

1

0.00%

Note: Reservation Id is not available in Microstrategy as an attribute in Accommodation Daily Cube. It is used in the example in order to explain the concept. Empty Reservation Id indicates that there is no reservation made on that object on a particular date.


If the client use Accommodation and Accommodation Type level reservations, then in that case following examples shows Available, Occupied and Occupancy on any particular calendar date

Accommodation Type

Accommodation Level-5

Accommodation

Calendar Date

Reservation Id

Occupied

Available

Occupancy

Accommodation

Apartment-A

appt-1

01-01-2019

1234

1

1

100.00%

Accommodation

Apartment-A

appt-1

02-01-2019

1234

1

1

100.00%

Accommodation

Apartment-A

appt-1

03-01-2019

1234

1

1

100.00%

Accommodation

Apartment-A

appt-1

04-01-2019

1234

1

1

100.00%

Accommodation

Apartment-A

appt-1

05-01-2019


0

1

0.00%

Accommodation

Apartment-A

appt-1

06-01-2019


0

1

0.00%

Accommodation

Apartment-A

appt-1

07-01-2019


0

1

0.00%

Accommodation Type

Apartment-A

Apartment-A

07-01-2019

6789

1

0


Accommodation

Apartment-A

appt-1

08-01-2019


0

1

0.00%

Accommodation Type

Apartment-A

Apartment-A

08-01-2019

6789

1

0


Accommodation Type

Apartment-A

Apartment-A

08-01-2019

9876

1

0


Accommodation

Apartment-A

appt-1

09-01-2019


0

1

0.00%

Accommodation Type

Apartment-A

Apartment-A

09-01-2019

6789

1

0


Accommodation Type

Apartment-A

Apartment-A

09-01-2019

9876

1

0


Accommodation

Apartment-A

appt-1

10-01-2019


0

1

0.00%


Occupancy at level of Accommodation Type :

Accommodation Level-5

Calendar Date

Occupied

Available

Occupancy

Apartment-A

01-01-2019

1

1

100.00%

Apartment-A

02-01-2019

1

1

100.00%

Apartment-A

03-01-2019

1

1

100.00%

Apartment-A

04-01-2019

1

1

100.00%

Apartment-A

05-01-2019

0

1

0.00%

Apartment-A

06-01-2019

0

1

0.00%

Apartment-A

07-01-2019

1

1

100.00%

Apartment-A

08-01-2019

2

1

200.00%

Apartment-A

09-01-2019

2

1

200.00%

Apartment-A

10-01-2019

0

1

0.00%


Occupied

Number of occupied units per day.
At the level of grain, Occupied is 1, if Reservation is made on Accommodation/Accommodation Type and status is Provisional, Definitive, Checked-In or Checked-out.
Note that it does not include Cancelled reservation, to analyze them we have Reservation & Reservedresource cubes.

Preference bookingsNumber of occupied units that have been booked by a preference. Possible to calculate the preference booking percentage by: Preference bookings / Occupied

RevPAR

Revenue Per Available Room is calculated from two other metrics: Revenue / Available, i.e. the average price per night paid by customers for all the available accommodations.
Turnover BudgetTurnover budget per object per calendar date

Unit Days

Number of total units per day, it includes available, final locked and archived units.
At the level of grain, It is always 1 for accommodation and  0 for accommodation Type on a particular calendar date.

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