Hr Analytics

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.

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.

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.

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.

How can HR show value? With 20+ years of analytical expertise, the author guides you into the land of HR analytics to answer this question. The reader of this book is a business leader, an HR leader, analyst, student or just plain curious about what analytics in the Human Resource function is all about. It is intended for the business-minded individual interested in learning about the strategic advantages which can be obtained from performing analytics on the wealth of data stored in HR systems. The book begins with a brief history of the evolution of HR information and explains some of the differences between the stages of information progression. It also provides an opinion on who needs to know these differences and who doesn’t. The book moves on to provide advice on how to best select metrics for HR and how to approach an analysis is an organized way. A full chapter is dedicated to practical examples in order to assist the reader in generating ideas of how to provide value to the organization. Examples are provided using simple and more advanced techniques. The intent, however, is to show where value can be found in HR data and not to provide instruction on mathematical techniques. For the HR leader, the book will go on to examine the advantages and disadvantages of trying to build these capabilities in-house and will provide a realistic view of the challenges associated with implementing analytics in Human Resources. For the HR analyst, a section is included to discuss the realistic challenges you will face in collecting and analyzing HR data. Those entering this field or thinking about it, can then go in with their eyes wide open. A brief introduction to Strategic Workforce Planning is provided because it overlaps with HR analytics in one of its major steps. Finally, the book provides advice and opinions on data analysis and visualization tools available to the HR professional. What Will This Book Do for Me? Before the reader embarks on his / her journey through the pages of this book, it is important to know the types of questions that will be answered. Only then can the reader determine the true value of this material for his / her business. The list below is not all inclusive, but will provide the reader with an idea on how the information contained herein can be used. 1. How can I show some HR analytics quick wins to my leadership team? 2. What are the evolutionary stages of analytics and in what stage are most businesses? 3. How can I organize my analysis efforts? 4. What can regression analysis do for me? 5. How can I link HR to the business? 6. How can I get strategic value out of an HR survey? 7. Should I have an in-house analytics group? If so, which skill sets should I look for? 8. What challenges can I realistically expect to face if I head into HR analytics? Under the new pressure for Human Resources to provide higher value to the company, answering these and similar questions for the organization will increase the strategic level of Human Resources.

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.

This book directly addresses the explosion of literature about leveraging analytics with employee data and how organizational psychologists and practitioners can harness new information to help guide positive change in the workplace. In order for today’s organizational psychologists to successfully work with their partners they must go beyond behavioral science into the realms of computing and business acumen. Similarly, today’s data scientists must appreciate the unique aspects of behavioral data and the special circumstances which surround HR data and HR systems. Finally, traditional HR professionals must become familiar with research methods, statistics, and data systems in order to collaborate with these new specialized partners and teams. Despite the increasing importance of this diversity of skill, many organizations are still unprepared to build teams with the comprehensive skills necessary to have high performing HR Analytics functions. And importantly, all these considerations are magnified by the introduction and acceleration of machine learning in HR. This book will serve as an introduction to these areas and provide guidance on building the connectivity across domains required to establish well-rounded skills for individuals and best practices for organizations when beginning to apply advanced analytics to workforce data. It will also introduce machine learning and where it fits within the larger HR Analytics framework by explaining many of its basic tenets and methodologies. By the end of the book, readers will understand the skills required to do advanced HR analytics well, as well as how to begin designing and applying machine learning within a larger human capital strategy.

FINALIST: Business Book Awards 2019 - HR and Management Category Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession. Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-Driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.