HR · Analytics ·

Diversity, equity, inclusion

Track your DEI metrics: management parity, pay gap, official index and minority representation.

Illustrative preview of the SAP Analytics Cloud dashboard Diversity, equity, inclusion for the HR industry: metrics % women in management, Gender pay gap, Parity index, Minority representation, analyzed by Job level, Department, Site.
Illustrative preview of a possible rendering in SAC. Brand colors and structure; synthetic figures.

KPIs included

  • % women in management
  • Gender pay gap
  • Parity index
  • Minority representation

Analysis dimensions

  • Job level
  • Department
  • Site

About this template

Track your DEI metrics: management parity, pay gap, official index and minority representation. Designed for teams in the HR industry, the model pre-wires 4 key metrics — including % women in management and Gender pay gap — analyzable across 3 analysis axes (Job level, Department, Site). You start from an already-bounded base (units, aggregations and business labels defined) rather than a blank sheet.

After downloading, import Diversity, equity, inclusion 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 HR 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 "Diversity, equity, inclusion" template for?

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

Which KPIs are included?

The template includes 4 metrics: % women in management, Gender pay gap, Parity index, Minority representation. Each is computed across the dimensions Job level, Department, Site.

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.