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 |