a manual on becoming HR analytical Diez, Fermin creator author. Bussin, Mark author. Lee, Venessa author. text bibliography enk 2019 2020 monographic eng 1 online resource (xxv, 252 pages) 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. 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. Fermin Diez (Singapore Management University, Singapore), Mark Bussin (21st Century Pay Solutions, South Africa), and Venessa Lee (United Overseas Bank, Singapore). Includes bibliographical references and index. Personnel management Personnel management Statistical methods Personnel management Data processing Business & Economics Human Resources & Personnel Management Personnel & human resources management HF5549 .D54 2019 658.3 9781789739619 (e-book) https://www.emerald.com/insight/publication/doi/10.1108/9781789739619 https://www.emerald.com/insight/publication/doi/10.1108/9781789739619 UtOrBLW 191115 20251029120139.0 9781789739619 eng