CMG351 Human Resource Analytics Syllabus:

CMG351 Human Resource Analytics Syllabus – Anna University Regulation 2021

COURSE OBJECTIVES:

 To develop the ability of the learners to define and implement HR metrics that are aligned with the overall business strategy.
 To know the different types of HR metrics and understand their respective impact and application.
 To understand the impact and use of HR metrics and their connection with HR analytics.
 To understand common workforce issues and resolving them using people analytics.

UNIT I INTRODUCTION TO HR ANALYTICS

People Analytics – stages of maturity – Human Capital in the Value Chain : impact on business – HR metrics and KPIs.

UNIT II HR ANLYTICS I: RECRUITMENT

Recruitment Metrics : Fill-up ratio – Time to hire – Cost per hire – Early turnover – Employee referral hires – Agency hires – Lateral hires – Fulfillment ratio- Quality of hire.

UNIT III HR ANALYTICS – TRAINING AND DEVELOPMENT

Training & Development Metrics : Percentage of employees trained- Internally and externally trained -Training hours and cost per employee – ROI.

UNIT IV HR ANALYTICS EMPLOYEE ENGAGEMENT AND CAREER PROGRESSION

Employee Engagement Metrics :Talent Retention index – Voluntary and involuntary turnover- grades, performance, and service tenure – Internal hired index Career Progression Metrics: Promotion index – Rotation index – Career path index.

UNIT V HR ANALYTICS IV: WORKFORCE DIVERSITY AND DEVELOPMENT

Workforce Diversity and Development Metrics : Employees per manager – Workforce age profiling – Workforce service profiling – Churnover index – Workforce diversity
index – Gender mix

TOTAL: 45 PERIODS
COURSE OUTCOMES:

CO1 The learners will be conversant about HR metrics and ready to apply at work settings.
CO2 The learners will be able to resolve HR issues using people analytics.

REFERENCES:

1. JacFitzenz , The New HR Analytics, AMACOM , 2010.
2. Edwards M. R., & Edwards K, Predictive HR Analytics: Mastering the HR Metric.London: Kogan Page.2016.
3. Human Resources kit for Dummies – 3 rd edition – Max Messmer, 2003
4. Dipak Kumar Bhattacharyya, HR Analytics ,Understanding Theories and Applications, SAGE Publications India ,2017.
5. Sesil, J. C. , Applying advanced analytics to HR management decisions: Methods fo selection, developing incentives, and improving collaboration. Upper Saddle River,New Jersey: Pearson Education,2014.
6. Pease, G., & Beresford, B, Developing Human Capital: Using Analytics to Plan and Optimize Your Learning and Development Investments. Wiley ,2014.
7. Phillips, J., & Phillips, P.P, Making Human Capital Analytics Work: Measuring the ROI of Human Capital Processes and OUTCOME. McGraw-Hill,2014.
8. HR Scorecard and Metrices, HBR, 2001.