ESG · ESG ·

CSRD reporting — ESRS

Track your ESRS datapoint coverage, double materiality and the completeness of your CSRD reporting.

Illustrative preview of the SAP Analytics Cloud dashboard CSRD reporting — ESRS for the ESG industry: metrics ESRS datapoints covered %, Double materiality, Audited indicators, Completeness rate, analyzed by ESRS standard, Datapoint, Entity.
Illustrative preview of a possible rendering in SAC. Brand colors and structure; synthetic figures.

KPIs included

  • ESRS datapoints covered %
  • Double materiality
  • Audited indicators
  • Completeness rate

Analysis dimensions

  • ESRS standard
  • Datapoint
  • Entity

About this template

Track your ESRS datapoint coverage, double materiality and the completeness of your CSRD reporting. Designed for teams in the ESG industry, the model pre-wires 4 key metrics — including ESRS datapoints covered % and Double materiality — analyzable across 3 analysis axes (ESRS standard, Datapoint, Entity). You start from an already-bounded base (units, aggregations and business labels defined) rather than a blank sheet.

After downloading, import CSRD reporting — ESRS 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 "CSRD reporting — ESRS" 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: ESRS datapoints covered %, Double materiality, Audited indicators, Completeness rate. Each is computed across the dimensions ESRS standard, Datapoint, 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.