Utilities · ESG ·

Energy transition pathway

Drive your transition: renewables share, green capacity added, emissions avoided and net-zero pathway.

Illustrative preview of the SAP Analytics Cloud dashboard Energy transition pathway for the Utilities industry: metrics Renewables share %, Green capacity added, Emissions avoided, Net-zero pathway, analyzed by Technology, Region, Sector.
Illustrative preview of a possible rendering in SAC. Brand colors and structure; synthetic figures.

KPIs included

  • Renewables share %
  • Green capacity added
  • Emissions avoided
  • Net-zero pathway

Analysis dimensions

  • Technology
  • Region
  • Sector

About this template

Drive your transition: renewables share, green capacity added, emissions avoided and net-zero pathway. Designed for teams in the Utilities industry, the model pre-wires 4 key metrics — including Renewables share % and Green capacity added — analyzable across 3 analysis axes (Technology, Region, Sector). You start from an already-bounded base (units, aggregations and business labels defined) rather than a blank sheet.

After downloading, import Energy transition pathway 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 Utilities 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 "Energy transition pathway" template for?

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

Which KPIs are included?

The template includes 4 metrics: Renewables share %, Green capacity added, Emissions avoided, Net-zero pathway. Each is computed across the dimensions Technology, Region, Sector.

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.