HR Analytics Optimization at a Global Pharmaceutical Company

_74754-01

How HR analytics with generative AI increases efficiency at a global pharmaceutical company in Germany

A global pharmaceutical company implements SAP Datasphere and SAP Analytics Cloud to standardize workforce planning, automate data quality assurance and introduce predictive models and AI-powered chatbots to support HR analytics.

Company

A globally operating pharmaceutical company headquartered in Germany
Specialized in innovative medicines and therapies

Challenge

Need for people analytics to support strategic HR measures
Heterogeneous HR data landscape with various source systems and data structures
Manual creation of HR analyses led to high efforts and inefficient processes

Goals

implementation of a scalable and intuitively usable people analytics solution
Automation of data integration and reporting

Measures

Introduction of SAP Datasphere and SAP Analytics Cloud
Development and implementation of a standardized workforce planning concept
Automation of data quality assurance and introduction of predictive models
Utilization of generative AI and an AI-based HR chatbot for analysis support

Results

Significant efficiency increase and time savings through automation
Sustainable improvement in data quality
Early detection of HR risks and proactive measures through predictive models
Relief of technical resources and increased satisfaction of HR teams through intuitive analysis design and use of AI chatbots

This article might also interest you

atreus_teaser img fuer 2 und 3 spalter 05 2

Case Study

Head of HR Compensation & Benefits at a direct frozen food distributor

At a direct sales company for telecommunications products, an Atreus Manager takes over the management of HR Compensation & Benefits, Payroll and HR Analytics. He develops the digital personnel file and further develops a concept for sales remuneration.