Master HR metrics and data analytics: predict turnover, optimize recruitment, and enhance performance. Learn Excel functions, data analysis, and strategic HR management. Develop data-driven insights for talent management and organizational change.
Please inquire for pricingAvailable Online and In-class
This HR Metrics and Data Analytics Certification Training Course addresses critical challenges faced by HR professionals, such as real-time HR analytics and predicting employee turnover and optimizing recruitment decisions. Participants will learn to leverage essential HR metrics and analytical techniques to enhance organizational performance and strategic HR management.
The course guides attendees through a structured process of using key HR metrics and data analytics tools to analyse, interpret, and predict various workforce dynamics. Emphasis is placed on developing data-driven insights to manage recruitment, employee engagement, productivity, retention, and performance effectively.
Participants will explore the primary types of HR analytics (Descriptive, Diagnostic, Predictive, and Prescriptive) to transform their HR processes from intuition-driven to evidence-based decision-making.
Course Objectives
By the end of this HR Metrics and Data Analytics Training, participants will be able to:
Understand the fundamentals of data analytics in the context of HR departmental operations
Appreciate the role of data analytics in understanding performance and behaviour
Define the general principles of organizational change
Align organizational change and HR strategy to evidence from data
Utilize various assessment metrics to enhance organizational input
Conduct detailed analytical assessments
Generate decisions based on empirical evidence rather than opinion
Use data to analyse trends in the HR industry
Set benchmarks to attract competent talent from the market
Who should attend?
HR officers and managers managing recruitment, training, and employee development
Data analysts providing HR insights for enhancing decision-making
Data scientists responsible for business problem-solving using data
Finance analysts monitoring financial operations and forecasting budgets in relation to performance of the human capital of the organization
Business analysts leveraging data to enhance operational efficiency
Financial auditors evaluating organizational financial data
Managers and supervisors overseeing organizational operations
Training Methodology
Our diverse instructional approaches ensure effective learning:
– Lectures & Presentations: Engage with expert-driven, stimulating content. – Course Material: Access well-crafted supporting resources. – Group Work: Collaborate on discussions and case studies for practical insights. – Workshops & Role-Play: Participate in immersive, scenario-based activities. – Practical Application: Focus on applying theoretical knowledge in real situations. – Post-Training Support: Receive extensive support after training for skill implementation.
Training Outline
Module 1: HR Metrics, Data Analytics, Strategy, and the HR Department
Rationale for evidence-based HR
Understanding data, the different levels of analytics and the overview of the analytics cycle
Identifying key HR metrics
Strategic HRM and human capital
Module 2: Data Utilized in HR Analytics
Internal and external data sources
Employee tenure, compensation, and performance appraisal
Metrics on competent and high-performing employees
Revenue per employee and training requirements
Module 3: Putting HR Metrics and Analytics into Action
HR planning and recruitment analytics
Talent management and succession planning
Skills and training needs analysis
Balanced Scorecard applications
Module 4: Driving Organizational Change
Principles and theories of organizational change
Overcoming resistance to change
Cultural and technological drivers of change
Executing strategic change
Data as a driver of change
Module 5: The HR Data Analysis Process
Aligning HR metrics with organizational objectives
Collating, analysing, and interpreting HR data
Utilizing Power BI and Databricks data analysis Tool Pak
Evaluating organizational impacts of HR policies
Module 6: HR Metrics and Analytics in Action
Metrics application in recruitment, workforce planning, and learning & development
Online data driving HR decisions.
Analytics based on data from HR Survey Forms
Measuring HR effectiveness and talent management
Metrics for attendance, absence, and employee well-being
Module 7: Metrics for Employee Productivity and Performance I
Evaluating employee motivation and engagement
Psychological contract and empowerment.
Performance management methodologies
Training effectiveness and actionable planning
Module 8: Metrics for Employee Productivity and Performance II