HR Analytics

Paper Code: 
MBB 425
Credits: 
4
Contact Hours: 
90.00
Max. Marks: 
100.00
Objective: 

Course Outcomes (COs)

Courseoutcome

Learningandteaching

Strategies

AssessmentStrategies

  

On completion of this course, the students will be able to;

CO 157.Apply analytics in problems related to human resource management.

CO 158.Compare HR metrics and types of analytics in HR.

CO 159.Analyse the HR effectiveness and its impact on employee life cycle & experience using analytics

CO 160.Communicate data driven insights of HR analytics using data visualization techniques.

CO 161.Implement predictive models and dashboards in HR

CO 162.Evaluate the performances of predictive models.

Approach inteaching:InteractiveLectures, GroupDiscussion,Tutorials, CaseStudy

 

Learningactivitiesforthestudents:

Self-learningassignments,presentations

Classtest,Semesterend examinations,Quiz, Assignments,Presentation

  

 

19.00

Introduction to HR Analytics: Evolution of HR analytics, challenges with HR Analytics, strategic focus on HR Analytics; Common pitfalls of HR Analytics; HR analytics process and skill-set needed in HR analytics team, LAMP framework.

 

19.00

Approaches to Data Analytics: Current approaches to measuring HR; Strategic HR metrics versus Bench marking; HR scorecards & workforce scorecards; Types of analytics in HR- descriptive, predictive and prescriptive; HR analytics framework.

 

19.00

Dynamics of HR Metric: People analytics cycle, employee lifecycles and employee experiences, performance- and succession management; Agile framework; HR value chain; Metrics to measure HR effectiveness; Factors driving employee turnover, link between engagement and performance; Competitive edge and HR analytics.

 

19.00

Data Mining Techniques: Data analysis, data visualization techniques and effective utilization using tools; Common pitfalls associated with data visualization; Driving insights out of HR analytics.

 

19.00

Decision Making Based on Analytics: Data driven culture in an organization; Implementation of predictive modelling; Importance of predictability in fulfilling strategic objectives; Effective HR dashboards.

 

Essential Readings: 
  • Edwards, M. & Kirsten Edwards, K. (2016). Predictive HR Analytics: Mastering the HR Metric. Kogan Page.
  • Isson, J.P. Harriott& J.S. (2016). People Analytics in the Era of Big Data: Changing the Way You Attract, Acquire, Develop, and Retain Talent. John Wiley & Sons.

 

References: 

Suggested readings

  • James, E.R. (2017). Business Analytics. UK: Pearson Education Limited
  • Van, Wieren S. (2017). Quantifiably Better: Delivering Human Resource (HR) Analytics from Start to Finish. Technics Publications LLC

E resources

Journals

 

Academic Year: 
2022-2023
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