Why? The data set allows calculation of daily revenue forecast and optimal productivity as well as staffing level in PMI. What? The data set comprises of a daily snapshot of all sales and catering reservations recorded on the book for the next 365 days.
|#||PMI data element (target)||Description||Mandatory / Optional||Comment|
|1||Property ID||ID of the property (hotel, restaurant)||O|
|2||Property Name||Name of the property (hotel, restaurant)||M|
|3||Department ID||ID of the department within the property||O|
|4||Department Name||Name of the department within the property||M|
|5||EventType ID||ID of the event type||O|
|6||EventType Name||Name of the event type||M||An event type can be any kind of catering activity; it can be as simple as a one-hour reception, or something more complex such as a three-day business meeting with meals, breaks, and specific meeting room, setup, and resource requirements. Other common examples are: dinner, meeting, coffee break, etc. These attributes are used to map associated revenue to correct departments and segments.|
|7||MealPeriod ID||ID of the meal period||O|
|8||MealPeriod Name||Name of the meal period (e.g. Breakfast, Lunch, Dinner)||O|
|9||Extract Date||Date of the data extract||M|
|10||Event Date||Event Date||M|
|11||Covers||Number of covers/guests||M|
|12||NetRevenue||Revenue without VAT and other authority charge rates||M|
|13||Event Status||Booking status of the reservation||M|
Please note: The table above shows the PMI data elements required. Equivalent data elements must be identified in source S&C application as part of the extract specification exercise.
The export should be scheduled daily as early as possible in the morning.
See this article about transfer methods