Finance · Forecasting ·

Rolling forecast — 12-month

Refresh your 12-month rolling forecast: revenue, EBITDA, variance vs budget and historical forecast accuracy.

Illustrative preview of the SAP Analytics Cloud dashboard Rolling forecast — 12-month for the Finance industry: metrics Revenue forecast, EBITDA forecast, Variance vs budget, Forecast accuracy, analyzed by Month, Business unit, Scenario.
Illustrative preview of a possible rendering in SAC. Brand colors and structure; synthetic figures.

KPIs included

  • Revenue forecast
  • EBITDA forecast
  • Variance vs budget
  • Forecast accuracy

Analysis dimensions

  • Month
  • Business unit
  • Scenario

About this template

Refresh your 12-month rolling forecast: revenue, EBITDA, variance vs budget and historical forecast accuracy. Designed for teams in the Finance industry, the model pre-wires 4 key metrics — including Revenue forecast and EBITDA forecast — analyzable across 3 analysis axes (Month, Business unit, Scenario). You start from an already-bounded base (units, aggregations and business labels defined) rather than a blank sheet.

After downloading, import Rolling forecast — 12-month 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 Finance 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 "Rolling forecast — 12-month" template for?

It provides a ready-to-use SAC structure to drive forecasting in the Finance industry. The standard business KPIs and dimensions are already defined, saving you the modeling phase.

Which KPIs are included?

The template includes 4 metrics: Revenue forecast, EBITDA forecast, Variance vs budget, Forecast accuracy. Each is computed across the dimensions Month, Business unit, Scenario.

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.