Course Overview

HR and Workforce Analytics is a comprehensive professional training program designed to equip human resource professionals, workforce planners, HR managers, organizational development specialists, business analysts, talent management professionals, and decision-makers with advanced skills in analyzing workforce data to improve employee performance, organizational effectiveness, and strategic human capital management. As organizations increasingly adopt HR Analytics, Workforce Analytics, People Analytics, Human Capital Analytics, Talent Management Analytics, Employee Performance Analytics, Workforce Planning, Predictive HR Analytics, Employee Engagement Analytics, and Data-Driven Human Resource Management, there is a growing demand for professionals who can transform workforce data into actionable insights that support organizational success. This course provides participants with practical expertise in applying analytics to recruitment, retention, performance management, workforce planning, and employee development.

The training explores the complete HR analytics lifecycle, including workforce data collection, integration, management, analysis, visualization, predictive modeling, reporting, and strategic decision-making. Participants will learn how to analyze recruitment metrics, employee engagement data, performance indicators, turnover trends, compensation structures, learning and development outcomes, and workforce productivity measures. The course combines theoretical foundations with practical applications using real-world HR datasets and organizational case studies.

Participants will gain hands-on experience in HR data management, statistical analysis, workforce forecasting, employee segmentation, dashboard development, predictive analytics, and human capital reporting. The course emphasizes evidence-based HR decision-making, organizational performance improvement, diversity and inclusion analytics, workforce optimization, and ethical management of employee data. Through practical exercises and case studies, participants will develop confidence in designing and implementing workforce analytics systems that drive employee success and business performance.

The training further addresses emerging trends in people analytics, including artificial intelligence in HR, talent intelligence platforms, employee experience analytics, workforce automation, real-time workforce monitoring, cloud-based HR systems, predictive talent management, and strategic workforce intelligence. Participants will develop competencies required to support organizational growth, workforce agility, talent retention, and sustainable human capital development through advanced analytics.

Course Objectives

1. Understand the principles and applications of HR and workforce analytics.

2. Collect, manage, and analyze workforce and employee data effectively.

3. Apply statistical and analytical techniques to HR decision-making.

4. Measure and improve workforce performance and productivity.

5. Analyze recruitment, retention, and talent management metrics.

6. Develop workforce planning and forecasting models.

7. Utilize predictive analytics to address HR challenges.

8. Design HR dashboards and workforce reporting systems.

9. Support diversity, equity, inclusion, and employee engagement initiatives through analytics.

10. Leverage emerging technologies and AI for strategic human capital management.

Organizational Benefits

1. Improved workforce planning and talent management.

2. Enhanced employee retention and reduced turnover.

3. Better recruitment and hiring decisions.

4. Increased workforce productivity and performance.

5. Improved employee engagement and satisfaction.

6. Enhanced succession planning and leadership development.

7. Better management of compensation and benefits programs.

8. Increased diversity, equity, and inclusion outcomes.

9. Improved evidence-based HR decision-making.

10. Strengthened organizational performance and competitiveness.

Target Participants

· Human resource managers and officers

· Workforce planning specialists

· Talent acquisition and recruitment professionals

· Organizational development practitioners

· Learning and development professionals

· HR business partners

· Compensation and benefits specialists

· Data analysts and business intelligence professionals

· Employee engagement and performance managers

· Government and public sector HR officers

· Consultants and organizational advisors

· Anyone interested in HR analytics and workforce management

Course Outline

Module 1: Introduction to HR and Workforce Analytics

1. Fundamentals of HR and workforce analytics

2. Evolution of people analytics

3. Strategic role of workforce data

4. HR analytics frameworks and models

5. Data-driven HR decision-making

6. Emerging trends in workforce analytics

Case Study:
Developing an HR analytics strategy to support organizational growth and workforce effectiveness.

Module 2: Workforce Data Management and Governance

1. Sources of HR and workforce data

2. Human Resource Information Systems (HRIS)

3. Data integration and management

4. Data quality assurance and validation

5. Employee data governance and privacy

6. Ethical considerations in workforce analytics

Case Study:
Establishing a centralized workforce data management system for organizational reporting.

Module 3: Recruitment and Talent Acquisition Analytics

1. Recruitment metrics and KPIs

2. Candidate sourcing analytics

3. Talent pipeline analysis

4. Hiring efficiency and effectiveness measurement

5. Recruitment cost analysis

6. Workforce demand forecasting

Case Study:
Analyzing recruitment data to improve hiring quality and reduce time-to-fill positions.

Module 4: Employee Performance Analytics

1. Performance management frameworks

2. Employee productivity measurement

3. Goal and KPI tracking systems

4. Performance trend analysis

5. Competency and skills assessment

6. High-performance workforce identification

Case Study:
Using workforce performance data to improve employee productivity and outcomes.

Module 5: Employee Engagement and Experience Analytics

1. Employee engagement measurement techniques

2. Survey and feedback analytics

3. Employee satisfaction analysis

4. Workplace culture assessment

5. Employee well-being metrics

6. Action planning based on engagement insights

Case Study:
Analyzing employee engagement surveys to improve workplace culture and retention.

Module 6: Workforce Retention and Turnover Analytics

1. Employee turnover measurement

2. Retention analytics frameworks

3. Attrition trend analysis

4. Predictive turnover modeling

5. Exit interview analytics

6. Retention strategy development

Case Study:
Identifying drivers of employee turnover and developing targeted retention interventions.

Module 7: Compensation and Benefits Analytics

1. Compensation benchmarking methodologies

2. Salary structure analysis

3. Pay equity assessment

4. Benefits utilization analytics

5. Reward effectiveness evaluation

6. Workforce cost optimization

Case Study:
Analyzing compensation data to improve competitiveness and workforce satisfaction.

Module 8: Learning and Development Analytics

1. Training needs assessment methodologies

2. Learning program performance measurement

3. Skills gap analysis

4. Training effectiveness evaluation

5. Career development analytics

6. Workforce capability planning

Case Study:
Evaluating learning and development programs to improve employee competencies.

Module 9: Workforce Planning and Predictive Analytics

1. Strategic workforce planning frameworks

2. Workforce demand and supply forecasting

3. Scenario planning techniques

4. Succession planning analytics

5. Predictive workforce modeling

6. Future skills forecasting

Case Study:
Forecasting workforce requirements to support organizational expansion plans.

Module 10: Diversity, Equity, and Inclusion (DEI) Analytics

1. DEI measurement frameworks

2. Workforce diversity analysis

3. Inclusion and belonging metrics

4. Equity and pay gap assessments

5. Bias identification and mitigation

6. DEI reporting and accountability

Case Study:
Using workforce analytics to improve diversity and inclusion outcomes across departments.

Module 11: HR Dashboards, Reporting, and Business Intelligence

1. HR dashboard design principles

2. Workforce KPI development

3. Data visualization techniques

4. Executive HR reporting

5. Real-time workforce monitoring systems

6. Decision-support analytics

Case Study:
Developing a workforce intelligence dashboard for executive leadership and HR teams.

Module 12: Artificial Intelligence and Future Trends in Workforce Analytics

1. AI applications in HR and talent management

2. Machine learning for workforce predictions

3. Talent intelligence and workforce automation

4. Employee experience technologies

5. Future trends in people analytics

6. Building a data-driven HR function

Case Study:
Designing an integrated HR and workforce analytics ecosystem that combines HRIS data, recruitment analytics, performance management systems, employee engagement monitoring, retention forecasting, DEI metrics, workforce planning models, AI-powered talent intelligence, executive dashboards, and decision-support tools to improve workforce productivity, employee experience, talent retention, organizational effectiveness, and long-term business performance.

Essential Information

Our courses are customizable to suit the specific needs of participants.
Participants are required to have proficiency in the English language.
Our training sessions feature comprehensive guidance through presentations, practical exercises, web-based tutorials, and collaborative group activities. Our facilitators boast extensive expertise, each with over a decade of experience.
Upon fulfilling the training requirements, participants will receive a prestigious Global King Project Management certificate.
Training sessions are conducted at various Global King Project Management Centers, including locations in Nairobi, Mombasa, Kigali, Dubai, Lagos, and others.
Organizations sending more than two participants from the same entity are eligible for a generous 20% discount.
The duration of our courses is adaptable, and the curriculum can be adjusted to accommodate any number of days.
To ensure seamless preparation, payment is expected before the commencement of training, facilitated through the Global King Project Management account.
For inquiries, reach out to us via email at training@globalkingprojectmanagement.org or by phone at +254 114 830 889.
Additional amenities such as tablets and laptops are available upon request for an extra fee. The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a certificate of successful completion. Participants are responsible for arranging and covering their travel expenses, including airport transfers, visa applications, dinners, health insurance, and any other personal expenses.

HR and Workforce Analytics Training Course