Predictive HR Analytics. Mastering the HR Metric

Edwards, Martin R.; Edwards, Kirsten

dc.contributor.author	Edwards, Martin R.
dc.contributor.author	Edwards, Kirsten
dc.date.accessioned	2021-07-13T13:19:54Z
dc.date.available	2021-07-13T13:19:54Z
dc.date.issued	2020
dc.identifier.isbn	978-0749473914
dc.identifier.uri	http://elib.ipa.government.bg:8080/xmlui/handle/123456789/1034
dc.description	While other departments in an organization deal with profits, sales growth, and strategic planning, Human Resources (HR) is responsible for employee well-being, engagement, and staff motivation. Even though it may not be immediately obvious, the management of these duties often requires a great deal of measurement and technical skill. Predictive HR Analytics provides a clear and accessible framework to understanding and learning to work with HR analytics at an advanced level, using examples of particular predictive models, such as diversity analysis, predicting turnover, evaluating interventions, and predicting performance. When dealing with metrics, management information, and analytics, HR practitioners rarely use any advanced statistical techniques or go beyond describing the characteristics of the workforce. Authors Martin Edwards and Kirsten Edwards explain the business applications of HR predictive models; the ethics and limitations of HR analytics; how to carry out an analysis; predict turnover, performance, recruiting, and selection outcomes; and monitor the impact of interventions.	bg_BG
dc.language.iso	en	bg_BG
dc.publisher	Kogan Page	bg_BG
dc.subject	HR	bg_BG
dc.title	Predictive HR Analytics. Mastering the HR Metric	bg_BG
dc.type	Book	bg_BG