HR Analytics - Concepts and Tools for Effective Decision Making
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HR Analytics - Concepts and Tools for Effective Decision Making Course
Introduction:
This course adopts a strategic approach to examining how your organization utilizes HR data and measurement systems. It aims to equip you with the skills to identify HR metrics that are in line with your company's strategic objectives. The course covers the essential qualities of reliable data and provides you with the tools to locate and gather such data, whether from internal or external sources.
Course Objectives:
By the end of the HR Analytics - Concepts and Tools for Effective Decision-Making course, participants will be able to:
- Provide a thorough understanding of modern Talent/HR analytics.
- Leverage HR data to make more insightful business decisions.
- Apply basic forecasting tools.
- Transform HR into a strategic function.
- Shift the attention of HR managers and practitioners from just ‘running’ or ‘managing’ their HR departments to ‘predictive management’ using the modern tools of talent/HR analytics.
- Apply modern Human Capital management processes to take HR to new levels of sophistication and integration.
- Optimize and synchronize the delivery of HR services.
- Get acquainted with best practice examples of organizations using talent/HR analytics.
Who Should Attend?
HR Analytics - Concepts and Tools for Effective Decision Making course is ideal for:
- Human Resources professionals or those about to start a career in Human Resources.
- Experienced officers and managers in Human Resources who wish to update their knowledge and skills about the latest techniques in the various Human Resources functions.
Course Outlines:
Introduction to HR Analytics
- The Meaning and Power of Analytics
- Big Data and HR
- The Purpose and Uses of HR Analytics
- Needed Skills and Common Pitfalls to Avoid – The Analytical Leader
- Trend and Regression Analysis
Managing Tomorrow, Today
- The Language of Metrics and Analytics
- The Evolution of Data Analysis
- Moving from Prescriptive to Predictive Analytics
- Lagging and Leading Indicators
- What we Know about Tomorrow
- The Future of Talent/HR Analytics
Human Capital Management Model for Managing Tomorrow, Today
- The Four Processes of Predictive Modern Human Capital
- Scanning the Market and Managing the Risk
- Turning Data into Business Intelligence
- Avoiding Common Metrics Mistakes
- The Levels of Metrics
- Applying Metrics and Analytics to Make a Difference
Big Data Applications in HR
- Using Predictive Analysis to Attack Long-Term Turnover and Productivity Problems
- Using Predictive Analysis to Improve Staffing and Retention
- Exploring Data that Indicates How Leading Companies Retain Core Talent in Critical Functions
- Exploring the Impact of Education Level of Employees in Core Functions on a Business’ Market Performance
Examples of Organizations Using Talent/HR Analytics
- Employee Engagement
- Sales
- Employee Absenteeism
- Retention
- Incentives
- Leadership