HR Data Analytics and Analysis
30 June - 04 July 2025
Sandton City Tower
Johannesburg South Africa
Cost per Delegate
R17,999.00
Introduction
The HR Data Analytics and Analysis course is designed to empower HR professionals and data enthusiasts with the skills and knowledge required to harness the power of data in managing human resources. As organizations increasingly rely on data-driven insights for strategic decisions, this course offers a comprehensive introduction to the tools, techniques, and best practices in HR analytics.
Participants will learn how to collect, analyze, and interpret HR data to improve workforce planning, talent acquisition, employee performance, and overall organizational effectiveness. The course combines theoretical knowledge with practical applications, including case studies and hands-on projects, ensuring that attendees are equipped to apply HR analytics in real-world scenarios.
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Objectives:
1. Understand the Fundamentals: Gain a comprehensive understanding of HR data analytics and its importance in modern HR management.
2. Data Management Skills: Learn how to collect, manage, and prepare HR data for analysis.
3. Analytical Techniques: Develop skills in various data analysis techniques, including descriptive, predictive, and prescriptive analytics.
4. Metrics and KPIs: Learn to identify and analyze key HR metrics and KPIs to drive organizational performance.
5. Data Visualization: Master the use of data visualization tools to create insightful HR reports and dashboards.
6. Predictive Modeling: Build and apply predictive models to anticipate HR challenges and opportunities.
7. Ethical Considerations: Understand the ethical and legal implications of using HR data.
8. Practical Application: Apply the knowledge through real-world case studies and projects.
9. Stay Updated: Explore emerging trends and technologies in HR analytics.
Who Should Attend?
• HR Professionals: HR managers, directors, and executives who want to leverage data analytics for better decision-making.
• Data Analysts: Data professionals looking to specialize in HR analytics.
• Business Leaders: CEOs, COOs, and other senior leaders aiming to align HR strategies with business goals.
• Consultants: HR and business consultants interested in offering data-driven HR solutions to clients.
• IT Professionals: IT managers and staff working on HRIS and data management systems.
Course Outline
Module 1: Introduction to HR Data Analytics
• Overview of HR Analytics
• Importance of data-driven decision-making in HR
• Key HR metrics and KPIs
• The role of analytics in strategic HR management
Understanding Billing Processes
• Detailed overview of billing cycles for postpaid customers
• Prepaid billing mechanisms and recharge management
• Common billing issues and how to resolve them
Module 2: Data Collection and Management
• Data sources and types in HR
• Data collection techniques
• Data cleaning and preparation
• Tools for HR data management (e.g., Excel, HRIS systems)
Module 3: Data Analysis Techniques
• Descriptive analytics: Understanding current HR data
• Predictive analytics: Forecasting future HR trends
• Prescriptive analytics: Recommendations for decision-making
• Statistical methods and tools for HR analytics (e.g., regression analysis, correlation)
Module 4: HR Metrics and KPIs
• Workforce planning metrics
• Talent acquisition and retention metrics
• Employee performance and productivity metrics
• Diversity and inclusion metrics
• Compensation and benefits analytics
Module 5: Data Visualization and Reporting
• Principles of effective data visualization
• Tools for creating HR dashboards (e.g., Power BI, Tableau)
• Building and interpreting HR reports
• Communicating insights to stakeholders
Module 6: Predictive Modeling in HR
• Introduction to predictive modeling
• Case studies on predictive analytics in HR
• Building and validating predictive models
• Applications in talent management, employee turnover, and succession planning
Module 7: Ethical and Legal Considerations in HR Analytics
• Data privacy and security in HR
• Ethical considerations in HR data usage
• Compliance with labor laws and regulations
Module 8: Practical Applications and Case Studies
• Real-world case studies in HR analytics
• Best practices for implementing HR analytics in organizations
• Group projects and presentations
End of the Workshop
For Training arrangements call us on the detail below
TANZANIA: +255 749 50 26 78
SOUTH AFRICA: +27 694 31 79 73
KENYA: +255 749 50 26 78
DUBAI: +27 694 31 79 73
