KPIs included
- ARPU forecast
- MRR forecast
- Net Adds forecast
- Forecast accuracy
Analysis dimensions
- Plan / Package
- Region
- Month
About this template
Project your revenue: forecast ARPU, MRR, Net Adds and historical forecast accuracy. Designed for teams in the Telecom industry, the model pre-wires 4 key metrics — including ARPU forecast and MRR forecast — analyzable across 3 analysis axes (Plan / Package, Region, Month). You start from an already-bounded base (units, aggregations and business labels defined) rather than a blank sheet.
After downloading, import Telecom revenue 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 Telecom 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 "Telecom revenue forecast" template for?
It provides a ready-to-use SAC structure to drive forecasting in the Telecom industry. The standard business KPIs and dimensions are already defined, saving you the modeling phase.
Which KPIs are included?
The template includes 4 metrics: ARPU forecast, MRR forecast, Net Adds forecast, Forecast accuracy. Each is computed across the dimensions Plan / Package, Region, Month.
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.