HR ANALYTICS - Future of HRM
HR analytics is a data-driven approach to improving people-related decisions for the purpose of advancing both individual and organizational success. We will take the perspective of the general manager when examining how emerging “big data” analytical approaches applied to human resource management can be used to advance business objectives. We will examine and discuss examples of organizations and company projects addressing key people-related issues, such as recruiting and hiring, performance evaluation, promotion and training opportunities, compensation, and organizational change. By the end of this course, you will understand how and when “big data” can be used to make key employee decisions so that you can position yourself as a strategic partner in your company’s talent management.
The module provides participants with a framework for understanding the strategies, tools, and the challenges associated with measuring workforce in real organizations. HR analytics works by gathering workforce data, from work history to employee satisfaction scores, and feeding this information into advanced computer models. Using sophisticated algorithms, these models churn out insights that HR leaders can use to make critical decisions, such as whether to tweak commission structures to drive sales or invest more heavily in training to curb high attrition rates.
Last Date for Fee Submission: March 25, 2019
Understanding HR Analytics
- Disruptive Technology – The Power to Predict
- Towards Analytics and Prediction
- Why Analytics is Important?
HR Information System, Data, and Analysis Strategies
- Scan the Market, and Manage the Risk
- How to improve HR processes?
- The Big Picture – the value of statistical analysis
The New Face of Workforce Planning
- How to put capability planning into practice
- Case Study 1: Diversity Analytics
- Case Study 2: Employee Attitude Surveys – engagement and workforce
Business Applications: Scenario modelling and business cases
Views of the Future: Human Capital Analytics
Collapsing the Silos
- Process Analysis for HR – A broader future view
- The integration of HR services
- Case Study 3: Predicting Employee Turnover,
- Case Study 4: Predicting Employee Performance
Turning Data into Business Intelligence
- How to Interpret Data?
- Using HR Metrics to make a difference
- Case Study 5: Recruitment and Selection Analytics
- Case Study 6: Monitoring the impact of interventions
More advanced HR analytics techniques
Reflection on HR Analytics: Usage, ethics, and limitations
Future of Work: Look What’s Coming Tomorrow
Dr. Muhammad Naseer Akhtar is a PhD in Business Administration from Huazhong University of Science & Technology, Wuhan–PR China, MA Management from Chester Business School (United Kingdom). His professional career spans over 12 years, during which period he has gained considerable experience working in banking industry, manufacturing industry, international education management (student recruitment, international academic partnerships, accreditation programs etc.), teaching and research across different countries (i.e. United Kingdom, Lithuania, Hungary, Cyprus, PR China, and Indonesia). He has been providing consultancies and training services to corporate sector since past 10 years. He is continuously seeking ways to enhance professional practice to enrich professionals’ learning experiences and transform understanding in real organizations. He is currently Assistant Professor of Human Resource Management (HRM), head of Research & Publications and Editor in Chief in National University of Science & Technology (NUST).