KPIs included
- Forecast occupancy
- Pickup
- Pace vs PY
- Forecast accuracy
Analysis dimensions
- Hotel
- Week
- Segment
About this template
Forecast your occupancy 90 days out: pickup, pace vs PY and historical forecast accuracy. Designed for teams in the Tourism industry, the model pre-wires 4 key metrics — including Forecast occupancy and Pickup — analyzable across 3 analysis axes (Hotel, Week, Segment). You start from an already-bounded base (units, aggregations and business labels defined) rather than a blank sheet.
After downloading, import Occupancy forecast into SAC Modeler (Files → New Model → Import data from a file), map the 3 dimensions and 4 measures, then build your Story. The provided dataset contains 720 to 960 rows with realistic values for the Tourism industry, available as .xlsx (multi-sheet workbook), .csv (flat table) and .package (ZIP bundle with model.json, data.csv and README).
FAQ
What is the "Occupancy forecast" template for?
It provides a ready-to-use SAC structure to drive forecasting in the Tourism industry. The standard business KPIs and dimensions are already defined, saving you the modeling phase.
Which KPIs are included?
The template includes 4 metrics: Forecast occupancy, Pickup, Pace vs PY, Forecast accuracy. Each is computed across the dimensions Hotel, Week, Segment.
How do I import it into SAP Analytics Cloud?
Download the .csv or .xlsx format, then in SAC: Files → New Model → Import data from a file. Map the columns (Dimensions then Measures), validate the types and build your Story. Allow 5 to 10 minutes for an operational model.