Workforce Planning & Analytics

AI helps HR teams plan workforce capacity, skills, and headcount by analyzing employee and work data and testing business scenarios.

Business impact

• Speed of complex data analysis — Amazon reported faster complex data analysis from internal use of Quick Suite.
• Workforce planning decision support — The Merck KGaA Germany account says AI and simulations support planning and risk-management decisions.
• Skills visibility — The Merck KGaA Germany and Synopsys accounts describe AI-supported skills analysis and skills profiles.

Data requirements

• Employee data (tabular) — Used for workforce analysis and planning.
• Work data (tabular) — Used to build skills profiles and analyze tasks.
• Skills data (tabular) — Used to support workforce insights and scenario updates.
• Jira data (tabular) — Used by Synopsys in task and skills analysis.
• Business scenario data (tabular) — Used in workforce simulations and planning.
• Cost data (tabular) — Used in Merck KGaA Germany's planning and risk-management decisions.

AI methods and techniques

• Data analysis — Used to analyze employee and work data for planning and insights.
• Simulation — Used in short- and mid-term workforce planning to test scenarios before decisions are made.
• Skills analysis — Used to build or update skills profiles and support workforce insights.
• Task analysis — Used to analyze tasks for possible AI augmentation.

Industries

Real-world evidence

4 documented case studies on record.

Companies using this: Amazon, Merck, Siemens Energy, Synopsys.