03343nam a2200445Ii 4500 9781789739619 UtOrBLW 20251029120139.0 m o d cr un||||||||| 191115t20192020enk ob 001 0 eng d 9781789739619 (e-book) UtOrBLW eng rda UtOrBLW HF5549 .D54 2019 KJMV2 bicssc BUS030000 bisacsh 658.3 Diez, Fermin, author. 58969 Fundamentals of HR analytics : a manual on becoming HR analytical / Fermin Diez (Singapore Management University, Singapore), Mark Bussin (21st Century Pay Solutions, South Africa), and Venessa Lee (United Overseas Bank, Singapore). Bingley, U.K. : Emerald Publishing Limited, 2019. ©2020 1 online resource (xxv, 252 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Prelims -- Part I: The Basics of HR Analytics -- 1 Basics of Finance, Statistics and Data-analytic Thinking -- 2 Tools for HR Analytics -- 3 Data Collection -- 4 HR Analytics Modelling -- Part II: Applications -- 5 Turnover -- 6 Training and Development -- 7 Strategic Resourcing -- 8 Recruitment -- 9 Compensation and Benefits -- 10 Career Planning -- 11 HR Policies vs Profits -- 12 Conclusions and Thoughts on the Future of HR Analytics -- References -- Index. The future of the Human Resource Management profession is inextricably linked to understanding data analytics. This book provides practical, hands-on approaches to connect data to HR policies and practices to help influence overall business performance.Building on traditional HR skillsets, the book makes understanding and engaging with data analytics possible for professionals at all levels. Leveraging key statistical and financial concepts, including ROI and people productivity, and commonly available tools such as Workday and Tableau, the authors explore key skills and tasks in an accessible and illuminating way, including: data-analytic thinkingdata managementdata collectionclean-up and warehousingbuilding descriptive and predictive modelsapplying HR analytics skills and tools to workforce planning, recruitment, training, and turnover analysis.Fundamentals of HR Analytics is an essential resource for aspiring, new and experienced HR professionals across a wide range of industrial contexts, as well as data analysts working on business workforce focused projects and upper level students of HR encountering data analytics in this context for the first time. Personnel management. 57459 Personnel management Statistical methods. 58970 Personnel management Data processing. 58971 Business & Economics Human Resources & Personnel Management. bisacsh Personnel & human resources management. bicssc Bussin, Mark, author. 58972 Lee, Venessa, author. 58973 9781789739640 https://www.emerald.com/insight/publication/doi/10.1108/9781789739619 51343 51343