Shivinder Nijjer is a faculty member at Chitkara Business School, Chitkara University, Punjab, India. She has also previously worked as a software engineer with Infosys Technologies Limited. She has a PhD in predictive analytics and has contributed extensively to publications in the field of management information systems and business analytics. She has published various research articles in eminent ABDC-ranked and Scopus Indexed Journals. She is also a reviewer for Scopus indexed journals. She has also been actively involved in designing and delivery of analytics courses for students.Sahil Raj is a faculty member at School of Management Studies, Punjabi University, Patiala, India. He has a PhD in information systems and has previously worked with Ranbaxy Laboratories. His recent publications include Management Information Systems (2017) and Business Analytics (2015). He has also published numerous research papers, and is a reviewer and on the editorial board of many national and international journals. He has been invited as an expert speaker and trainer in analytics by various national institutions.

• 1. Analytics in HRM 2. Looking for Data 3. Modelling the Business Problem 4. Predictive Analytics Tools and Techniques 5. Evaluation of Analytical Outcomes 6. Predictive HR Analytics in Recruitment and Selection 7. Predictive HR Analytics in Turnover and Separation 8. Predictive HR Analytics in Other Areas of HRM 9. Emerging Trends in Predictive HR Analytics

Shivinder Nijjer is a faculty member at Chitkara Business School, Chitkara University, Punjab, India. She has also previously worked as a software engineer with Infosys Technologies Limited. She has a PhD in predictive analytics and has contributed extensively to publications in the field of management information systems and business analytics. She has published various research articles in eminent ABDC-ranked and Scopus Indexed Journals. She is also a reviewer for Scopus indexed journals. She has also been actively involved in designing and delivery of analytics courses for students.Sahil Raj is a faculty member at School of Management Studies, Punjabi University, Patiala, India. He has a PhD in information systems and has previously worked with Ranbaxy Laboratories. His recent publications include Management Information Systems (2017) and Business Analytics (2015). He has also published numerous research papers, and is a reviewer and on the editorial board of many national and international journals. He has been invited as an expert speaker and trainer in analytics by various national institutions.

• 1. Analytics in HRM 2. Looking for Data 3. Modelling the Business Problem 4. Predictive Analytics Tools and Techniques 5. Evaluation of Analytical Outcomes 6. Predictive HR Analytics in Recruitment and Selection 7. Predictive HR Analytics in Turnover and Separation 8. Predictive HR Analytics in Other Areas of HRM 9. Emerging Trends in Predictive HR Analytics

Shivinder Nijjer is a faculty member at Chitkara Business School, Chitkara University, Punjab, India. She has also previously worked as a software engineer with Infosys Technologies Limited. She has a PhD in predictive analytics and has contributed extensively to publications in the field of management information systems and business analytics. She has published various research articles in eminent ABDC-ranked and Scopus Indexed Journals. She is also a reviewer for Scopus indexed journals. She has also been actively involved in designing and delivery of analytics courses for students.Sahil Raj is a faculty member at School of Management Studies, Punjabi University, Patiala, India. He has a PhD in information systems and has previously worked with Ranbaxy Laboratories. His recent publications include Management Information Systems (2017) and Business Analytics (2015). He has also published numerous research papers, and is a reviewer and on the editorial board of many national and international journals. He has been invited as an expert speaker and trainer in analytics by various national institutions.

• 1. Analytics in HRM 2. Looking for Data 3. Modelling the Business Problem 4. Predictive Analytics Tools and Techniques 5. Evaluation of Analytical Outcomes 6. Predictive HR Analytics in Recruitment and Selection 7. Predictive HR Analytics in Turnover and Separation 8. Predictive HR Analytics in Other Areas of HRM 9. Emerging Trends in Predictive HR Analytics