BI for HR Analytics & Workforce Planning Training Course

Description

This course equips participants with practical skills to use Business Intelligence (BI) tools and analytics techniques to improve human resource decision-making and workforce planning. It focuses on HR data analysis, workforce forecasting, employee performance tracking, turnover analysis, recruitment analytics, and strategic workforce planning. Participants will learn how to transform HR data into actionable insights that support talent management, organizational efficiency, and long-term workforce strategy.

Target Groups

HR managers and HR business partners
HR analysts and people analytics professionals
Talent acquisition and recruitment teams
Workforce planning specialists
Learning and development professionals
Business intelligence and data analysts supporting HR
Organizational development practitioners
Public and private sector HR teams
Senior managers involved in workforce decisions

Course Objectives

By the end of this course, participants will be able to:

Understand the role of BI in HR analytics and workforce planning
Analyze HR data to support strategic decision-making
Track key HR metrics and workforce KPIs
Predict workforce trends such as turnover and staffing needs
Improve recruitment and retention strategies using data
Build HR dashboards and workforce reports
Support evidence-based workforce planning
Identify skills gaps and training needs using analytics
Enhance employee performance measurement systems
Strengthen HR decision-making through data-driven insights

Course Modules

Module 1: Introduction to HR Analytics & BI

Overview of HR analytics and workforce intelligence
Role of BI in modern HR management
Key HR metrics and workforce indicators
Data-driven HR decision-making
Trends in people analytics

Module 2: HR Data Sources and Management

HRIS, payroll, recruitment, and performance data
Employee lifecycle data collection
Data integration across HR systems
Data quality and governance in HR analytics
Preparing HR data for analysis

Module 3: Workforce Planning Fundamentals

Strategic workforce planning concepts
Supply and demand forecasting for talent
Capacity planning and headcount analysis
Skills gap identification
Scenario-based workforce planning

Module 4: Recruitment and Talent Acquisition Analytics

Hiring funnel analysis
Time-to-hire and cost-per-hire metrics
Candidate sourcing effectiveness
Recruitment conversion rates
Optimizing hiring strategies using BI

Module 5: Employee Performance and Productivity Analytics

Performance measurement frameworks
KPI tracking for employees and teams
Productivity analysis techniques
High performer identification
Linking performance to business outcomes

Module 6: Employee Retention and Turnover Analysis

Understanding attrition patterns
Predicting employee turnover
Retention risk indicators
Exit analysis and insights
Improving employee engagement through data

Module 7: HR Dashboards and Reporting

Designing HR dashboards and scorecards
Visualizing workforce KPIs
Executive HR reporting
Self-service HR analytics dashboards
Communicating HR insights effectively

Module 8: Predictive Analytics in Workforce Planning

Forecasting workforce needs
Predicting attrition and hiring demand
Skills and capability forecasting
Scenario modeling for workforce planning
AI-driven HR analytics concepts

Module 9: HR Metrics, Governance and Compliance

HR data governance and privacy
Compliance with labor and data regulations
Ethical use of employee data
Reporting standards and audit readiness
Ensuring data accuracy and security

Module 10: Capstone Project and Case Studies

Building a workforce analytics dashboard
HR predictive modeling exercise
Case studies on workforce optimization
Talent planning and reporting simulation
Emerging trends: AI-powered HR analytics, real-time workforce dashboards, automated recruitment analytics, skills intelligence platforms, and predictive workforce planning systems