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Human resource planning using predictive analytics

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dc.contributor.author Suryanarayana, Alamuri
dc.date.accessioned 2019-10-21T06:36:02Z
dc.date.available 2019-10-21T06:36:02Z
dc.date.issued 2018-12-20
dc.identifier.citation 7th Annual International Research Conference - 2018, on “Enhancing green environment through innovative management approach", p.20. en_US
dc.identifier.issn 2536-8869
dc.identifier.uri http://ir.lib.seu.ac.lk/handle/123456789/3799
dc.description.abstract Big Data, Analytics, Predictive Analytics (PA) have made their way into the world of Business in general and Human Resource Management in particular. Today, they have even gained an entry into Board rooms and business meetings as well. PA has immense potential to offer game changing actionable insights into the entire gamut of HR planning activities. In total contrast to the traditional descriptive analytics using tables, reports, ratios, metrics, etc., PA equips firms to analyze the past and attempts to discern trends in key HR-centric data. However, most companies woefully lack a holistic and consistent view of their HR and the incredible power of HR analytics to attempt and achieve employee force optimization. This review of literature-based Paper discusses the issues and challenges involved in using PA and Predictive Retention Modeling as a key component of HR analytics strategy to compete better and secure business excellence through analytic capability. en_US
dc.language.iso en_US en_US
dc.publisher Faculty of Management and Commerce, South Eastern University of Sri Lanka. en_US
dc.subject Predictive analytics en_US
dc.subject Workforce intelligence en_US
dc.subject HR mandates en_US
dc.subject Predictive retention modeling en_US
dc.subject Actionable business insights en_US
dc.title Human resource planning using predictive analytics en_US
dc.type Other en_US


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