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To study the role of HR Analytics in Predicting the Economic Value of Organization’s Human Capital Investment


Affiliations
1 Amity University, India
2 Amity University, Noida, India
3 MERI, India
     

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Over the past many years, Human Resource Management has changed. It has moved from an operational discipline towards a more strategic discipline. The popularity of the term Strategic Human Resource Management (SHRM) exemplifies this. The data-driven approach that characterizes HR analytics is in line with this development. By using HR analytics organizations do not rely on gut feeling anymore. Analytics enables HR professionals to make data-driven decisions. Furthermore, analytics helps to test the effectiveness of HR policies and different interventions. The use of data analytics in the field of human resource development is becoming increasingly common. This rise in popularity is accompanied by skepticism about the ability of human resource professionals to effectively utilize data analytics to reap organizational benefits

The HR world is abuzz with talk of big data and the transformative potential of HR analytics. With the changing processes HR analytics is a ‘must have’ capability that will ensure HR's future as a strategic management function while transforming organisational performance for the better. It argues that unless the HR profession wises up to both the potential and drawbacks of this emerging field and engages operationally and strategically to develop better methods and approaches, it is unlikely that existing practices of HR analytics will deliver transformational change. Indeed, it is possible that current trends will seal the exclusion of HR from strategic, board‐level influence while doing little to benefit organisations and actively damaging the interests of employees


Keywords

HR Analytics, Human Resource Management, Talent Analytics, Strategic Human Resource Management, Strategic Workforce Planning, ROI, Human Capital Investment.
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  • To study the role of HR Analytics in Predicting the Economic Value of Organization’s Human Capital Investment

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Authors

Swati Chawla
Amity University, India
Puja Sareen
Amity University, Noida, India
Sangeeta Gupta
MERI, India

Abstract


Over the past many years, Human Resource Management has changed. It has moved from an operational discipline towards a more strategic discipline. The popularity of the term Strategic Human Resource Management (SHRM) exemplifies this. The data-driven approach that characterizes HR analytics is in line with this development. By using HR analytics organizations do not rely on gut feeling anymore. Analytics enables HR professionals to make data-driven decisions. Furthermore, analytics helps to test the effectiveness of HR policies and different interventions. The use of data analytics in the field of human resource development is becoming increasingly common. This rise in popularity is accompanied by skepticism about the ability of human resource professionals to effectively utilize data analytics to reap organizational benefits

The HR world is abuzz with talk of big data and the transformative potential of HR analytics. With the changing processes HR analytics is a ‘must have’ capability that will ensure HR's future as a strategic management function while transforming organisational performance for the better. It argues that unless the HR profession wises up to both the potential and drawbacks of this emerging field and engages operationally and strategically to develop better methods and approaches, it is unlikely that existing practices of HR analytics will deliver transformational change. Indeed, it is possible that current trends will seal the exclusion of HR from strategic, board‐level influence while doing little to benefit organisations and actively damaging the interests of employees


Keywords


HR Analytics, Human Resource Management, Talent Analytics, Strategic Human Resource Management, Strategic Workforce Planning, ROI, Human Capital Investment.

References





DOI: https://doi.org/10.25089/MERI%2F2018%2Fv12%2Fi1%2F180118