Bid Committee System Applicable to Municipalities (MFMA)

Introduction to Human Resource Data Analytics Training

Master HR Data Analytics to Drive Recruitment, Retention, and Performance

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Platform:
Online
In-class
Date Venue Duration
Available on Request Sandton, Gauteng 3 Days

Course Introduction

Human Resource functions are increasingly expected to make evidence-based decisions that improve workforce performance, reduce costs, and strengthen organisational strategy. HR Data Analytics enables HR professionals to transform employee data into meaningful insights that guide recruitment, retention, performance management, workforce planning, and strategic decision-making. 

This practical 5-day Introduction to Human Resource Data Analytics Training programme introduces participants to the foundations of Human Resource Data Analytics, focusing on how to collect, clean, analyse, interpret, and communicate HR data effectively. Participants will learn how to use analytics to solve real workplace challenges, measure HR performance, and present insights that influence executive decisions. 

The course emphasises practical application, dashboards, and reporting tools that HR teams can immediately implement in their organisations. 

Course Duration Options

This course is available in two formats, so you can choose the depth that fits your time and needs:

2-Day Essentials Core Capability

Foundations, data, and core analytics essentials, followed by applied analytics, dashboards, and ethics essentials.

Ideal for: Professionals who need practical, current HR data analytics capability without an extended time commitment.

Course Objectives

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

  • Understand the role of data analytics in modern HR management 
  • Identify and utilise key HR data sources within their organisations 
  • Measure and interpret core HR metrics and KPIs 
  • Clean and prepare HR datasets for meaningful analysis 
  • Apply descriptive analytics to support HR decision-making 
  • Evaluate recruitment and hiring effectiveness using data 
  • Analyse employee retention, turnover trends, and engagement indicators 
  • Measure learning impact, employee performance, and workforce capability 
  • Conduct workforce planning and HR cost analysis 
  • Develop HR dashboards and management reports 
  • Communicate data insights clearly to management and stakeholders 
  • Apply ethical standards and data privacy principles in handling employee information 

Who should attend?

This course is ideal for professionals responsible for people management, workforce reporting, and organisational planning, including: 

  • Human Resource Managers and HR Officers 
  • HR Business Partners 
  • Talent Acquisition and Recruitment Specialists 
  • Learning & Development Practitioners 
  • Organisational Development Professionals 
  • Employee Relations Practitioners 
  • Payroll and HR Information System Officers 
  • Workforce Planning Specialists 
  • People & Culture Teams 
  • HR Analysts and Data Officers 
  • Line Managers Involved in Workforce Planning 
  • Executives Overseeing HR Strategy 
Finance Courses

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

2-Day Essentials — Training Outline

DAY 1 — Foundations, Data, and Core Analytics
Introduction to HR Data Analytics Essentials
  • The evolution of data-driven HR, from administrative HR to strategic HR analytics
  • Types of HR analytics (descriptive, diagnostic, predictive, prescriptive)
HR Data Sources and Core Metrics Essentials
  • Internal HR data sources (HRIS, payroll, performance systems)
  • Core HR metrics: workforce composition, productivity, absenteeism, engagement, and DEI indicators
Cleaning Data and Descriptive Analytics Essentials
  • Data quality principles and common HR data errors
  • Using averages, ratios, and distributions to identify workforce insights

DAY 2 — Applied Analytics, Dashboards, and Ethics
Recruitment, Retention, and Workforce Analytics Essentials
  • Time-to-hire, cost-per-hire, and quality of hire indicators
  • Calculating turnover and retention rates, and early warning indicators of attrition
  • Workforce forecasting and headcount planning essentials
Dashboards and Communicating Insights Essentials
  • Principles of effective HR dashboards and selecting the right metrics
  • Turning data into compelling narratives and presenting analytics to executives
Ethics, Privacy, and Responsible Use of Employee Data Essentials
  • Data protection and employee privacy, including South Africa's Protection of Personal Information Act (POPIA)
  • Bias in HR analytics and responsible analytics practices

5-Day Comprehensive — Training Outline

Module 1: Introduction to Human Resource Data Analytics
  • The evolution of data-driven HR
  • From administrative HR to strategic HR analytics
  • Types of HR analytics (descriptive, diagnostic, predictive, prescriptive)
  • Linking HR analytics to organisational strategy
  • Business cases for HR analytics adoption

Module 2: HR Data Sources and What You Already Have
  • Internal HR data sources (HRIS, payroll, performance systems)
  • Recruitment and applicant tracking systems
  • Learning management systems
  • Employee engagement and survey data
  • External labour market data
  • Data integration challenges

Module 3: Core HR Metrics That Matter
  • Workforce composition metrics
  • Productivity and performance indicators
  • Absenteeism and attendance metrics
  • Engagement and satisfaction measures
  • Diversity and inclusion indicators
  • HR KPIs aligned to business performance

Module 4: Cleaning and Preparing HR Data for Analysis
  • Data quality principles
  • Identifying incomplete and inconsistent records
  • Data validation techniques
  • Structuring HR datasets
  • Preparing data for analysis tools
  • Common HR data errors and fixes

Module 5: Descriptive Analytics for HR Decision Making
  • Understanding trends and patterns in HR data
  • Using averages, ratios, and distributions
  • Visualising HR statistics
  • Identifying workforce insights
  • Translating numbers into decisions

Module 6: Measuring Recruitment and Hiring Performance
  • Time-to-hire and cost-per-hire metrics
  • Quality of hire indicators
  • Recruitment funnel analysis
  • Source effectiveness tracking
  • Candidate experience measurement

Module 7: Retention, Turnover, and Employee Experience Analytics
  • Types of employee turnover
  • Calculating turnover and retention rates
  • Early warning indicators of attrition
  • Employee engagement analytics
  • Exit interview data insights
  • Retention strategy measurement

Module 8: Learning, Performance, and Capability Analytics
  • Measuring training effectiveness
  • Skills gap analysis
  • Performance appraisal analytics
  • Competency mapping
  • Workforce capability measurement
  • ROI of learning and development

Module 9: Workforce Planning and HR Cost Analytics
  • Workforce forecasting techniques
  • Headcount planning and optimisation
  • HR budgeting and cost modelling
  • Labour cost analysis
  • Scenario planning for workforce changes

Module 10: Building HR Dashboards and Reports That Get Used
  • Principles of effective HR dashboards
  • Selecting the right metrics
  • Visual storytelling with data
  • Dashboard tools and platforms
  • Executive reporting formats
  • Making reports decision-friendly

Module 11: Communicating HR Insights and Defending Recommendations
  • Turning data into compelling narratives
  • Presenting analytics to executives
  • Influencing decisions with evidence
  • Handling objections and questions
  • Making actionable recommendations

Module 12: Ethics, Privacy, and Responsible Use of Employee Data
  • Data protection and employee privacy, including South Africa's Protection of Personal Information Act (POPIA) and its implications for handling employee data in analytics
  • Responsible analytics practices
  • Ethical risks in HR data use
  • Bias in HR analytics
  • Compliance with data regulations
  • Governance frameworks for HR data

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Success Stories

Discover how our courses enhance professionals’ effectiveness in their workplaces.

ELIDZ

Thrive as an Intern: Managing Anxiety, Building Resilience & Handling Rejection

The training was very insightful, contents shared are relatable, and the facilitator is amazing in such a way that he is able to reference practical examples to make concepts understandable and relatable to all. Listening and interacting with him is easy because he opens the platform for everyone, even when he is speaking, you are able to listen attentively with understanding because he is well informed, passionate, and well prepared. He knows his story. Lastly, the session is very interactive and interesting, you constantly looking forward to hear more and say more as well.

East London IDZ

Managing Anxiety, Building Resilience & Handling Rejection

The training was very insightful, and I learnt a lot about Resilience & Handling Rejection. I am glad I was part of the training

Central Bank of Lesotho

Unlock HR's Strategic Power with Modern HRIS

The programme was fascinating and informative.

FAQs – Introduction to Human Resource Data Analytics Training

Build a strong foundation in human resource data analytics to understand workforce data, identify key trends, measure HR performance, and use data-driven insights to support effective people management and business decisions.

What topics are covered in the Introduction to Human Resource Data Analytics Training?
The course covers HR data fundamentals, key workforce metrics (turnover, recruitment, productivity), data cleaning and preparation, dynamic Excel dashboard creation, predictive flight-risk modeling, AI-enhanced data analysis, data storytelling, and HR data ethics.
Who should attend the Introduction to Human Resource Data Analytics Training?
This training is designed for HR managers, HR business partners, talent acquisition specialists, compensation specialists, HR operations staff, and non-financial line managers who want to make data-driven decisions and present compelling HR insights to executive leadership.
How does this course help turn raw workforce data into strategic business insights?
Delegates learn how to clean and structure raw HRIS data, build automated executive dashboards, identify attrition patterns, apply predictive modeling, and translate analytical findings into persuasive narratives that align HR strategy with organizational goals.
How long is the Introduction to Human Resource Data Analytics Training?
The course is offered as a 2-Day Essentials masterclass focusing on core HR metrics and Excel dashboard design, or a 5-Day Comprehensive masterclass covering full predictive analytics, advanced statistical methods, AI integration, and roadmap planning.
What practical tools and skills will delegates gain from this masterclass?
Delegates gain hands-on skills in Power Query, PivotTables, dataset auditing, turnover prediction modeling, executive dashboard design, data visualization best practices, and drafting actionable HR analytics implementation plans.
Can Prospen Africa deliver this course as customized in-house training?
Yes. Prospen Africa can tailor the masterclass around your organization’s specific HR software systems, internal reporting templates, workforce dataset structures, and institutional analytics priorities.

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