HR · Analytics ·

Retention & engagement

Measure attrition, separate regretted from non-regretted, and track employee engagement.

Illustrative preview of the SAP Analytics Cloud dashboard Retention & engagement for the HR industry: metrics Attrition rate, Regretted attrition, Average tenure, eNPS, analyzed by Department, Tenure, Site.
Illustrative preview of a possible rendering in SAC. Brand colors and structure; synthetic figures.

KPIs included

  • Attrition rate
  • Regretted attrition
  • Average tenure
  • eNPS

Analysis dimensions

  • Department
  • Tenure
  • Site

About this template

Measure attrition, separate regretted from non-regretted, and track employee engagement. Designed for teams in the HR industry, the model pre-wires 4 key metrics — including Attrition rate and Regretted attrition — analyzable across 3 analysis axes (Department, Tenure, Site). You start from an already-bounded base (units, aggregations and business labels defined) rather than a blank sheet.

After downloading, import Retention & engagement 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 "Retention & engagement" 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: Attrition rate, Regretted attrition, Average tenure, eNPS. Each is computed across the dimensions Department, Tenure, 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.