2.2 Reservation Dataset
- Miriam van den Hoven (Deactivated)
- Roelant de Looff
- Ruben de Looff
This dataset provides information per reservation. One reservation might contain two or more accommodations, so attributes and metrics of the Accommodation Daily Dataset and Reservation Dataset can't be exchanged.
Attribute | Definition |
|---|---|
Arrival Date | Arrival Date: The exact date the customer is arriving Arrival Date Day of Week: The day of the week the customer is arriving Arrival Date ISO Week: The ISO week in which this date is classified Arrival Date ISO Year: The ISO year in which this date is classified Arrival Date Month: The month the customer is arriving Arrival Date Quarter: The quarter the customer is arriving Arrival Date Year: The year the customer is arriving |
Customer | City: City of Origin of the customer Country: Country of Origin of the customer Customer ID: The unique id for the customer, can be used to find the customer in MXTS or create aggregations in MicroStrategy |
Departure Date | Departure Date: The exact date the customer is departing Departure Date Day of Week: The day of the week the customer is departing Departure Date ISO Week: The ISO week in which this date is classified Departure Date ISO Year: The ISO year in which this date is classified Departure Date Month: The month the customer is departing Departure Date Quarter: The quarter the customer is departing Departure Date Year: The year the customer is departing |
Distribution Channel | Distribution Channel Brand If used in MXTS, the brand of the distribution channel Distribution Channel Level(s): The distribution channel through which the reservation of the resource was made. Level 1 - 5 depends on the tree-structure in MXTS
Distribution Channel Type: Type of the distribution channel (e.g. Direct, Touroperator or Reseller) |
Employee | Employee: Name of the Employee who created the reservation Employee group: The group to which the employee who created the reservation belongs (e.g. Reservations, Administrators or Internet) Employee Status: The status of the employee: On Duty / Off duty |
Location | Location Country: The country where the resort (location) is located Location Level(s): Location level as classified in MXTS tree-structure (1 - 5 is possible)
|
Reservation | Reservation: The reservation number of the reservation Reservation category: If used, the reservation category of the reservation, for example the source of the reservation (by phone, e-mail or website) Reservation Status: States of the reservation (e.g. Definitive, Pre Booking, Expired or Cancelled) Source: If used, the source of the reservation (e.g. Social Media, Booked from Website, TripAdvisor or Search Engine) |
Reservation Date | Reservation Date: The exact date the reservation was created Reservation Date Day of Week: The day of the week the reservation was created Reservation Date ISO Week: The ISO week in which this date is classified Reservation Date ISO Year: The ISO year in which this date is classified Reservation Date Month: The month the reservation was created Reservation Date Quarter: The quarter the reservation was created Reservation Date Year: The year the reservation was created |
Reservation Duration | Reservation Duration: The duration of the reservation, calculated in days. For example: When the arrival day is Sunday and departure is two weeks later on Sunday, the reservation duration is 14 days Reservation Duration Interval: 30 Days: The 30-days interval in which a reservation is classified. For example: A reservation duration of 14 days is in this attribute classified in the interval 1 - 30 days 5 Days: The 5-days interval in which a reservation is classified. For example: A reservation duration of 14 days is in this attribute classified in the interval 11 - 15 days 7 Days: The 7-days interval in which a reservation is classified. For example: A reservation duration of 14 days is in this attribute classified in the interval 8 - 14 days  |
Reservation Lag | Reservation Lag (also known as lead time): The number of days between the reservation date and arrival date. This way you can see how many days in advance your customers are making a reservation. 30 Days: The 30-days interval in which the reservation lag is classified. For example: A reservation lag of 33 days is in this attribute classified in the interval 31 - 60 days 5 Days: The 5-days interval in which the reservation lag is classified. For example: A reservation lag of 33 days is in this attribute classified in the interval 31 - 35 days 7 Days: The 7-days interval in which the reservation lag is classified. For example: A reservation lag of 33 days is in this attribute classified in the interval 29 - 35 days |
Metric | Definition |
|---|---|
Agent Bill Total | Total bill amount for agent |
Agent Outstanding Amount | Due/outstanding bill amount for agent |
Agent Paid Amount | Bill amount paid by agent |
Bill total | The sum of the customer bill, agent bill and paying customer bill. |
Customer Bill Total | Total bill amount for customer |
Customer Outstanding Amount | Due/outstanding bill amount for customer |
Customer Paid Amount | Bill amount paid by customer |
Number of Nights | Number of nights for which reservation is made |
Number of Reservations | Number of reservations at particular attribute level |
Paying Customer Bill Total | If used in MXTS, for example, when a reservation for a guest (Customer) is made via an agency (Paying Customer): Total bill amount for paying customer |
Paying Customer Outstanding Amount | If used in MXTS, for example, when a reservation for a guest (Customer) is made via an agency (Paying Customer): Due/outstanding bill amount for paying customer |
Paying Customer Paid Amount | If used in MXTS, for example, when a reservation for a guest (Customer) is made via an agency (Paying Customer): Bill amount paid by paying customer |
Reservation Turnover | Total net turnover of all booked accommodations in this reservation, meaning gross price of the booked accommodations minus specials and included reservedresources. This amount is including VAT. This reservation turnover is excluding add-ons. That means that the e.g. Customer Bill Total will be higher if add-ons are booked in this reservation. |