ESG · ESG ·

SBTi pathway — net-zero

Compare your actual emissions to your validated SBTi pathway, and track the remaining carbon budget to net-zero.

Illustrative preview of the SAP Analytics Cloud dashboard SBTi pathway — net-zero for the ESG industry: metrics Emissions vs SBTi pathway, Annual reduction %, Net-zero year, Remaining carbon budget, analyzed by Scope, Site, Entity.
Illustrative preview of a possible rendering in SAC. Brand colors and structure; synthetic figures.

KPIs included

  • Emissions vs SBTi pathway
  • Annual reduction %
  • Net-zero year
  • Remaining carbon budget

Analysis dimensions

  • Scope
  • Site
  • Entity

About this template

Compare your actual emissions to your validated SBTi pathway, and track the remaining carbon budget to net-zero. Designed for teams in the ESG industry, the model pre-wires 4 key metrics — including Emissions vs SBTi pathway and Annual reduction % — analyzable across 3 analysis axes (Scope, Site, Entity). You start from an already-bounded base (units, aggregations and business labels defined) rather than a blank sheet.

After downloading, import SBTi pathway — net-zero 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 ESG 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 "SBTi pathway — net-zero" template for?

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

Which KPIs are included?

The template includes 4 metrics: Emissions vs SBTi pathway, Annual reduction %, Net-zero year, Remaining carbon budget. Each is computed across the dimensions Scope, Site, Entity.

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.