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.
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Dr. Fermin Diez is an Adjunct Faculty member at Singapore Management University (SMU). Alongside 35 years of experience working in Human Resources within consulting, corporate, and academic roles, he is also the co-author of Human Capital and Global Business Strategy (2013) and The Remuneration Handbook (2017).
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Paperback. Condition: new. Paperback. 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 thinking data management data collection clean-up and warehousing building descriptive and predictive models applying 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. Providing practical, hands-on approaches to connect data to HR policies and practices to help influence overall business performance, this book is an essential resource for aspiring, new and experienced HR professionals across a wide range of industrial contexts. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781789739640
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