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Titlebook: People Analytics; Data to Decisions Rahul Ghatak Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive license to Spri

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書目名稱People Analytics
副標(biāo)題Data to Decisions
編輯Rahul Ghatak
視頻videohttp://file.papertrans.cn/744/743440/743440.mp4
概述Is an exploration of the people analytics possibility, bringing out both theoretical frameworks.Explores the journey from employee master data management.Discusses and makes the case for HR to be metr
叢書名稱Management for Professionals
圖書封面Titlebook: People Analytics; Data to Decisions Rahul Ghatak Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive license to Spri
描述.This book is an exploration of the people analytics possibility, bringing out both theoretical frameworks and detailed practical case studies from the author‘s experience in industry and business across both sides of the table, with an understanding of data science models and SMAC (Social, Mobile & Cloud) technologies underpinning it. It further explores and lays out a business case for why organizations need to invest behind this space and why HR functions and businesses need to embrace and adopt it. The book examines how people analytics makes a difference to business, describes stages of adoption and maturity models for its effective deployment in organizations and explores the journey from employee master data management and conversion to reporting and visualizations to dash-boarding and descriptive analytics, operational analytics to finally predictive modelling.??.The book provides insights on the impact of big data and social networks on HR and talent frameworks and the opportunity for HR to mine these networks with a view to culling out predictive insights for the business. It also describes in great detail the specific applications of people and talent analytics through c
出版日期Book 2022
關(guān)鍵詞HR Analytics; Talent Analytics; Workforce Analytics; HR Management; HR Metrics and Measurement
版次1
doihttps://doi.org/10.1007/978-981-19-3873-3
isbn_softcover978-981-19-3875-7
isbn_ebook978-981-19-3873-3Series ISSN 2192-8096 Series E-ISSN 2192-810X
issn_series 2192-8096
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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