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Unraveling the Power of Talent Analytics: Implications for Enhancing Business Performance

  • Geeta Rana
  • Ravinder Sharma
  • Alok Kumar Goel
Chapter

Abstract

For years, the human resources function has shouldered much of the responsibility for managing people, but it has often had to do so with too little real information while being too segregated from the business. Talent analytics, which uses advanced technologies to process billions of data points to discern previously unseen patterns of potential value, shows the promise of basing decisions about hiring, training, improving productivity, and retaining talent on hard numbers and even delivering insights that can make a company more competitive. This exploratory study provides an overview of the talent analytics practices of India’s Balmer Lawrie & Co. Ltd., which is a company engaged in a variety of businesses producing products such as steel barrels, industrial greases, specialty lubricants, corporate travel and logistic services with sites throughout India and in Bedford in the United Kingdom. Talent analytics help the company foster and sustain innovation by revolutionizing not only the practices of HR but also how insights about workforce performances can be derived and applied to achieve real improvements in business performance.

References

  1. Banerjee, A., Bandyopadhyay, T., & Acharya, P. (2013). Data analytics: Hyped up aspirations or true potential. Vikalpa, 38(4), 1–11.CrossRefGoogle Scholar
  2. Bassi, L. (2011). Raging debates in HR analytics. People & Strategy, 34(2), 14–18.Google Scholar
  3. Becker, B., Huselid, M., & Ulrich, D. (2001). The HR scorecard: Linking people, strategy and performance. Boston: Harward Business School Press.Google Scholar
  4. Bergold, J. (2007). Participatory strategies in community psychology research—A short survey. In A. Bokszczanin (Ed.), Poland welcomes community psychology: Proceedings from the 6th European conference on community psychology (pp. 57–66). Opole: Opole University Press.Google Scholar
  5. Bersin, J., Collins, L., Mallon, D., Moir, J., & Straub, R. (2012). People analytics. In B. Pelster & J. Schwartz (Eds.), Global human capital trends 2016. Retrieved from https://www2.deloitte.com/content/dam/Deloitte/global/Documents/HumanCapital/gx-dup-global-human-capital-trends-2016.pdf
  6. Boudreau, J. W. (2015). Talent ship and HR measurement and analysis: From ROI to strategic organizational change. People and Strategy, 29(1), 25.Google Scholar
  7. Carlson, K. D., & Kavanagh, M. J. (2012). HR metrics and workforce analytics. In M. J. Kavanagh & M. Thite (Eds.), Human resource information systems: Basics applications and future directions (1st ed., pp. 150–174). Thousand Oaks, CA: Sage Publishing.Google Scholar
  8. Carlson, K. D., & Kavanagh, M. J. (2015). In M. J. Kavanagh, M. Thite, & R. D. Johnson (Eds.), Human resource information systems (3rd ed.). Thousand Oaks, CA: SAGE Publications.Google Scholar
  9. Davenport, T. H., & Harris, J. (2007). Competing on analytics: The new science of winning. Boston, MA: Harvard Business School Press.Google Scholar
  10. Davenport, T. H., Harris, J., & Shapiro, J. (2010, October). Competing on talent analytics. Harvard Business Review, 52–58.Google Scholar
  11. Douthitt, S., & Mondroe, S. (2013). Maximizing the impact and effectiveness of HR analytics to drive business outcomes. People and Strategy, 34(2), 20–27.Google Scholar
  12. Dulebohn, J., & Johnson, R. (2013). Human resource metrics and decision. Human Resource Management Review, 23, 71–83.CrossRefGoogle Scholar
  13. Fitz-enz, J. (2010). How to measure human resources management. New York, NY: McGraw-Hill.Google Scholar
  14. Fitz-enz, J., & Mattox, J. (2014). Wiley and SAS business series: Predictive analytics for human resources. Hoboken, NJ: Wiley.Google Scholar
  15. Gale, S. (2015, August). Predict (still in) the future. Human Resource Management Systems, 44–47.Google Scholar
  16. George, J. H., & Kamalanabhan, J. W. (2016). An evidence-based review of talent analytics. The International Journal of Human Resource Management, 28(1), 3–26.Google Scholar
  17. Holsapple, G., Perrewé, P., Ranft, A., Zinko, R., Stoner, J., Brouer, R., et al. (2014). Human resource reputation and effectiveness. Human Resource Management Review, 17(2), 117–130.Google Scholar
  18. Jensen, K., & Eriksen, M. (2016). In M. Kavanagh, M. Thite, & R. Johnson (Eds.), Human resource information systems (3rd ed.). Thousand Oaks, CA: SAGE Publications.Google Scholar
  19. Kaplan, R., & Norton, D. (1996). The balanced scorecard: Translating strategy into action. Cambridge, MA: Harvard College.Google Scholar
  20. Lawler, E. E., Levenson, A., & Boudreau, J. W. (2004). HR metrics and analytics: Use and impact. Human Resource Planning, 27, 27–35.Google Scholar
  21. Levenson, A. (2013). The promise of big data for HR. People & Strategy, 36(4), 22–26.Google Scholar
  22. Marler, J. H., & Boudreau, J. W. (2017). An evidence-based review of talent analytics. The International Journal of Human Resource Management, 28(1), 3–26.CrossRefGoogle Scholar
  23. Pape, T. (2016). Prioritizing data items for business analytics: Framework and application to human resources. European Journal of Operational Research, 252, 687–698.CrossRefGoogle Scholar
  24. Pemmaraju, S. (2007). Converting HR data to business intelligence. Employment Relations Today, 34(3), 13–16.CrossRefGoogle Scholar
  25. Rasmussen, T., & Ulrich, D. (2015). Learning from practice: How talent analytics avoids being a management fad. Organization Dynamics, 44(3), 236–242.CrossRefGoogle Scholar
  26. Reason, P., & Bradbury, H. (2008). Introduction. In P. Reason & H. Bradbury (Eds.), The Sage handbook of action research. Participative inquiry and practice (2nd ed., pp. 1–10). London: Sage.CrossRefGoogle Scholar
  27. Sen, E. F. (2015). Data visualization. In S. Tonidandel, E. King, & J. Cortina (Eds.), Big data at work: The data science revolution and organizational psychology (pp. 115–157). New York, NY: Routledge.Google Scholar
  28. Ulrich, D., & Dulebohn, J. (2015). Are we there yet? What’s next for HR? Human Resource Management Review, 25, 188–204.CrossRefGoogle Scholar

Copyright information

© The Author(s) 2019

Authors and Affiliations

  • Geeta Rana
    • 1
  • Ravinder Sharma
    • 1
  • Alok Kumar Goel
    • 2
  1. 1.Swami Rama Himalayan UniversityDehradunIndia
  2. 2.CSIR-Human Resource Development CentreGhaziabadIndia

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