PEOPLE ANALYTICS: NOVEL APPROACH TO MODERN HUMAN RESOURCE MANAGEMENT PRACTICE
Keywords:HR Analytics, People Analytics, Workforce Analytics, Business Analytics, Bigdata, VO
This research review papers shows how HR departments need to optimize the way their organizations use human resources, and to be as efficient as possible themselves. They need to make better and faster decisions, to match people better to requirements, and at the same time to reduce costs. As an HR director, you’re probably aware that you could achieve your aims more effectively through better use of data. For example, when a business need arises, you need to be able to see at a glance whether you have the right person available internally or need to look outside. In the latter case, you then typically face the additional challenge of scanning large volumes of applications or CVs/résumés. Fortunately, with today’s technology, it’s possible to automate much of the work of matching people to requirements. You can also bring together structured and unstructured data to learn more about the potential of your own staff, and take advantage of information available in social networks to find out about potential recruits. With recent advances, all this can be achieved without major investment in technology and related skills. Applying advanced analytics effectively to HR challenges is the aim of our new offer, People Analytics.
Bass, Dina and Rodrigo Orihuela, “Help Wanted: Black Belts in Data”, Bloomberg Businessweek, June 4th 2015 (http://www. bloomberg.com/news/articles/2015-06-04/help-wanted-black-belts-indata)
Becker, Brian and Mark Huselid, “Measuring HR? Benchmarking is Not the Answer!”, HR Magazine, December 2003 (http://markhuselid.com/pdfs/articles/2003%20Becker-Huselid%20HR%20Magazine.pdf)
Bersin, Josh, Karen O’Leonard and Wendy Wang-Audia, High-Impact Talent Analytics: Building a World-Class HR Measurementand Analytics Function, Bersin by Deloitte, October 7th 2013 (http://www.bersin.com/Practice/Detail.aspx?id=16909)
Bersin, Josh, “Big Data in Human Resources: A World of Haves and Have-Nots”, Forbes, October 7th 2013 (http://www.forbes.com/sites/joshbersin/2013/10/07/big-data-in-human-resources-a-world-ofhaves-and-have-nots/)
Bersin, Josh, The Datafication of HR. Deloitte University Press, Deloitte Review, Issue 14, January 17th 2014 (http://dupress.com/articles/dr14-datafication-of-hr/)
Coco, Cedric T., Fiona Jamison and Heather Black, “Connecting People Investments and Business Outcomes at Lowe’s”, People & Strategy 34.2 (2011): pp. 28-33 http://c.ymcdn.com/sites/www.hrps.org/resource/collection/86D817D1-E244-4847-A103- BC7E19E57AB6/HRPS_PS34-2_Final.pdf
Garvin, David A., “How Google Sold its Engineers on Management”, Harvard Business Review, December 2013 (https://hbr.org/2013/12/how-google-sold-its-engineers-on-management)
Harvard Business Review Analytic Services and Visier, via Bersin, Demand for HR Analytics Roles Strong, but Slowing, May 17th 2015 (http://www.bersin.com/blog/post/Demand-for-HRAnalytics-Roles-Remains-Strong2c-but-Slowing.aspx)
KPMG-Economist Intelligence Unit, Rethinking Human Resources in a Changing World, 2012 (https://www.kpmg.com/Global/en/IssuesAndInsights/ArticlesPublications/hr-transformationssurvey/Documents/hr-transformations-survey-full-report.pdf)
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