HR Strategy, Planning & Analytics Training Course

Description

This course equips participants with the knowledge and practical skills required to design and implement strategic human resource plans supported by data and analytics. It focuses on strategic HR alignment, workforce planning, HR analytics frameworks, talent forecasting, organizational design, and evidence-based decision-making. Participants will learn how to connect HR strategy with business goals using data-driven insights to improve organizational performance and future workforce readiness.

Target Groups

Human resource managers and HR directors
HR business partners and strategists
Workforce planning specialists
HR analytics and data professionals
Organizational development practitioners
Senior managers and executives
Government and NGO HR planners
Business consultants and advisors

Course Objectives

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

Develop and implement HR strategies aligned with business goals
Conduct effective workforce planning and forecasting
Apply HR analytics to decision-making processes
Analyze workforce data to identify trends and gaps
Design strategic talent acquisition and retention plans
Improve organizational efficiency through data insights
Build HR dashboards and reporting systems
Support evidence-based HR policy formulation
Align HR functions with organizational transformation goals
Enhance long-term workforce sustainability and competitiveness

Course Modules

Module 1: Introduction to HR Strategy and Analytics

Definition and importance of HR strategy
Evolution of strategic HR management
Role of analytics in modern HR
Strategic vs operational HR functions
HR as a business partner

Module 2: Strategic Workforce Planning

Workforce planning frameworks and models
Demand and supply forecasting
Skills gap analysis and planning
Scenario planning in workforce strategy
Aligning workforce plans with business strategy

Module 3: HR Business Alignment

Linking HR strategy to organizational goals
Understanding business models and HR impact
HR value creation and contribution measurement
Strategic HR partnerships with leadership
Organizational performance alignment

Module 4: HR Data Collection and Management

Sources of HR data (HRIS, surveys, ERP systems)
Data quality and governance
Structuring and managing HR databases
Ethical handling of HR data
Data integration across systems

Module 5: HR Metrics and Performance Indicators

Key HR performance indicators (KPIs)
Productivity, turnover, and engagement metrics
Talent acquisition and retention metrics
Financial impact of HR decisions
Benchmarking HR performance

Module 6: HR Analytics Techniques

Descriptive, diagnostic, predictive, and prescriptive analytics
Statistical tools in HR analysis
Trend analysis and workforce insights
Correlation and regression in HR data
Data interpretation for decision-making

Module 7: Talent Analytics and Workforce Insights

Talent pipeline analysis
Employee lifecycle analytics
High-potential employee identification
Attrition and retention analytics
Skills and capability mapping

Module 8: HR Dashboards and Visualization

Designing HR dashboards for decision-making
Data visualization principles and tools
Real-time workforce reporting systems
Storytelling with HR data
Communicating insights to stakeholders

Module 9: Strategic HR Decision-Making

Evidence-based HR decision frameworks
Scenario modeling and forecasting
Risk-informed HR planning
Prioritization of HR initiatives
Linking analytics to strategic action

Module 10: Capstone Project and Case Studies

Designing a complete HR strategy and analytics framework
Case studies on data-driven HR transformation
Simulation of workforce planning and decision-making
Group project on HR dashboard development
Emerging trends: AI-driven HR strategy platforms, predictive workforce intelligence systems, real-time people analytics dashboards, skills-based workforce planning models, and automated HR decision-support systems