Predictive Analytics For Human Resources

Download or read book Predictive Analytics for Human Resources written by Jac Fitz-enz and published by John Wiley & Sons. This book was released on 2014-07-28 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create and run a human resource analytics project with confidence For any human resource professional that wants to harness the power of analytics, this essential resource answers the questions: "Where do I start?" and "What tools are available?" Predictive Analytics for Human Resources is designed to answer these and other vital questions. The book explains the basics of every business—the vision, the brand, and the culture, and shows how predictive analytics supports them. The authors put the focus on the fundamentals of predictability and include a framework of logical questions to help set up an analytic program or project, then follow up by offering a clear explanation of statistical applications. Predictive Analytics for Human Resources is a how-to guide filled with practical and targeted advice. The book starts with the basic idea of engaging in predictive analytics and walks through case simulations showing statistical examples. In addition, this important resource addresses the topics of internal coaching, mentoring, and sponsoring and includes information on how to recruit a sponsor. In the book, you'll find: A comprehensive guide to developing and implementing a human resource analytics project Illustrative examples that show how to go to market, develop a leadership model, and link it to financial targets through causal modeling Explanations of the ten steps required in building an analytics function How to add value through analysis of systems such as staffing, training, and retention For anyone who wants to launch an analytics project or program for HR, this complete guide provides the information and instruction to get started the right way.

Download or read book Predictive HR Analytics written by Dr Martin R. Edwards and published by Kogan Page Publishers. This book was released on 2019-03-03 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: HR metrics and organizational people-related data are an invaluable source of information from which to identify trends and patterns in order to make effective business decisions. But HR practitioners often lack the statistical and analytical know-how to fully harness the potential of this data. Predictive HR Analytics provides a clear, accessible framework for understanding and working with people analytics and advanced statistical techniques. Using the statistical package SPSS (with R syntax included), it takes readers step by step through worked examples, showing them how to carry out and interpret analyses of HR data in areas such as employee engagement, performance and turnover. Readers are shown how to use the results to enable them to develop effective evidence-based HR strategies. This second edition has been updated to include the latest material on machine learning, biased algorithms, data protection and GDPR considerations, a new example using survival analyses, and up-to-the-minute screenshots and examples with SPSS version 25. It is supported by a new appendix showing main R coding, and online resources consisting of SPSS and Excel data sets and R syntax with worked case study examples.

Download or read book Predictive Analytics in Human Resource Management written by Shivinder Nijjer and published by Routledge India. This book was released on 2020 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This volume is a step by step guide to implementing predictive data analytics in human resource management (HRM). It demonstrates how to apply and predict various HR outcomes which have an organizational impact, to aid in strategizing and better decision making. The book: Presents key concepts and expands on the need and role of HR analytics in business management; Utilises popular analytical tools like Artificial Neural Networks (ANN) and K-Nearest Neighbour (KNN) to provide practical demonstrations through R scripts for predicting turnover and applicant screening; Discusses real world corporate examples and employee data collected first-hand by the authors; Includes chapter-wise problem exercises and case studies for students and teachers. Comprehensive and accessible, this guide will be useful for students, teachers and researchers of data analytics, big data, human resource management, statistics, and economics. It will also be of interest to general readers unfamiliar with statistics or programming"--

Download or read book Human Capital Analytics written by Gene Pease and published by John Wiley & Sons. This book was released on 2012-10-30 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: An insightful look at the implementation of advanced analytics on human capital Human capital analytics, also known as human resources analytics or talent analytics, is the application of sophisticated data mining and business analytics techniques to human resources data. Human Capital Analytics provides an in-depth look at the science of human capital analytics, giving practical examples from case studies of companies applying analytics to their people decisions and providing a framework for using predictive analytics to optimize human capital investments. Written by Gene Pease, Boyce Byerly, and Jac Fitz-enz, widely regarded as the father of human capital Offers practical examples from case studies of companies applying analytics to their people decisions An in-depth discussion of tools needed to do the work, particularly focusing on multivariate analysis The challenge of human resources analytics is to identify what data should be captured and how to use the data to model and predict capabilities so the organization gets an optimal return on investment on its human capital. The goal of human capital analytics is to provide an organization with insights for effectively managing employees so that business goals can be reached quickly and efficiently. Written by human capital analytics specialists Gene Pease, Boyce Byerly, and Jac Fitz-enz, Human Capital Analytics provides essential action steps for implementation of advanced analytics on human capital.

Download or read book New Paradigm in Decision Science and Management written by Srikanta Patnaik and published by Springer Nature. This book was released on 2019-09-20 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses an emerging area in computer science, IT and management, i.e., decision sciences and management. It includes studies that employ various computing techniques like machine learning to generate insights from huge amounts of available data; and which explore decision-making for cross-platforms that contain heterogeneous data associated with complex assets; leadership; and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the International Conference on Decision Science and Management 2018 (ICDSM 2018), held at the Interscience Institute of Management and Technology (IIMT), Bhubaneswar, India.

Download or read book The New HR Analytics written by Jac FITZ-ENZ and published by AMACOM. This book was released on 2010-05-12 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using Fitz-enz’s proprietary analytic model, you will be equipped to measure and evaluate past and current returns and apply the information to make predictions about the future value of human capital investments. In his landmark book, The ROI of Human Capital, Jac Fitz-enz presented a system of powerful metrics for quantifying the contributions of individual employees to a company’s bottom line. Now, in The New HR Analytics, he reveals how human resources professionals can apply this expense-based knowledge to make the most strategic staffing decisions for their companies. You’ll learn how to: evaluate and prioritize the skills needed to sustain performance; build an agile workforce through flexible Capability Planning; determine how the organization can stimulate and reward behaviors that matter; apply a proven succession planning strategy that leverages employee engagement and drives top-line revenue growth; and recognize risks and formulate responses that avoid surprises. Brimming with real-world examples and input from thirty top HR practitioners and thought leaders as well as exclusive analytical tools, The New HR Analytics ushers in a new era in human resources and human capital management.

Download or read book The Practical Guide to HR Analytics written by Shonna D. Waters and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The need for HR professionals to understand and apply data analytics is greater than ever. Today's successful HR professionals must ask insightful questions, understand key terms, and intelligently apply data, but may lack a clear understanding of the many forms, types, applications, interpretations, and capabilities of HR analytics. HR Analytics provides a practical approach to using data to solve real HR challenges in organizations and demystifies analytics with clear guidelines and recommendations for making the business case, starting an HR analytics function, avoiding common pitfalls, presenting data through visualization and storytelling, and much more.