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.

After reading this book, you will be able to: ● Define what HR Analytics can do for an organization ● Determine the best HR analytics role for you ● Assess the readiness of your organization for undergoing a study using HR analytics ● Apply HR Analytics in various HR disciplines, including recruiting and staffing, labor negotiations, incentives, and training ● Use Excel to efficiently manage data for your HR analytics Have you ever wondered if there is a science behind the people decisions businesses make? If you have ever been curious about the methods employed by human resources professionals, then HR Analytics Essentials You Always Wanted to Know is the resource guide you need! Part overview of the field, part handbook for getting started in HR Analytics yourself, HR Analytics Essentials You Always Wanted to Know walks readers through the many benefits of using analytics to make better people decisions. HR Analytics requires more than just strong gut instincts and a talent for talking with people. As this guide shows, HR Analytics is both an art and a science that can help your organization make informed decisions that benefit all stakeholders, including employees. Through a blend of theory and practice, you will learn how to think like an HR Analytics professional and apply your expertise in real-world scenarios. With case studies and online tutorials, including a step-by-step guide for using Excel to efficiently work with your data, HR Analytics Essentials You Always Wanted to Know will be the handbook you need to help steer your organization to success. About the Author Dr. Michael Walsh is an industrial and organizational psychologist with over 15 years of human resources and people analytics experience. Michael currently leads Global Talent Management and Organizational Effectiveness for Eaton Corporation’s Vehicle Group. He also teaches a Human Resources Analytics course for master’s level students at the University of Illinois and Wayne State University. Previously, Michael’s passion for People Analytics landed him at Bloomberg and Fiat Chrysler Automobiles where he started and led the Global People Strategy and Analytics and People Analytics and Insights functions, respectively. Michael began his professional career as a client facing consultant for Mercer’s Human Capital practice focused on HR Strategy, Organizational Design/Development and Human Capital Analytics. Michael worked for Mercer in Chicago, Dubai and New York. His master’s degree is in Human Resources and Industrial Relations from the University of Illinois and his PhD is in Industrial and Organizational Psychology. About Vibrant Publishers Vibrant Publishers is focused on presenting the best texts for learning about technology and business as well as books for test preparation. Categories include programming, operating systems and other texts focused on IT. In addition, a series of books helps professionals in their own disciplines learn the business skills needed in their professional growth. Vibrant Publishers has a standardized test preparation series covering the GMAT, GRE and SAT, providing ample study and practice material in a simple and well organized format, helping students get closer to their dream universities.

Fundamentals of Human Resource Management: People, Data, and Analytics provides a current, succinct, and interesting introduction to the world of HRM with a special emphasis on how data can help managers make better decisions about the people in their organizations. Authors Talya Bauer, Berrin Erdogan, David Caughlin, and Donald Truxillo use cutting-edge case studies and contemporary examples to illustrate key concepts and trends. A variety of exercises give students hands-on opportunities to practice their problem-solving, ethical decision-making, and data literacy skills. Non-HR majors and HR majors alike will learn best practices for managing talent in today’s ever-evolving workplace.

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.

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.

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.

An understanding of people analytics is a crucial skill for all HR professionals. No longer limited to employees in data teams or those with analyst in their job titles, people analytics is now an integral part of every HR job. Introduction to People Analytics allows all HR professionals to get to grips with analytics, feel confident in their ability to handle employee and organizational data and use analytics to move from opinions to insights. From where to find data in an organization, how to collect it and analyse it through to how to use these findings to add business value, Introduction to People Analytics is essential reading for all HR professionals. With case studies and thought leadership insights from companies who have leveraged people analytics to improve culture and employee engagement, increase performance and reduce costs including NHS, Brompton Bikes, British Heart Foundation, King, Experian and AstraZeneca, FIS and Swarovski, this book shows how and where HR analytics can make a tangible difference to organizations. There is also expert guidance and practical advice on how to embed analytics into HR processes and adopt a data-driven approach to all workplace activities.

Maximize performance with better data Developing a successful workforce requires more than a gut check. Data can help guide your decisions on everything from where to seat a team to optimizing production processes to engaging with your employees in ways that ring true to them. People analytics is the study of your number one business asset—your people—and this book shows you how to collect data, analyze that data, and then apply your findings to create a happier and more engaged workforce. Start a people analytics project Work with qualitative data Collect data via communications Find the right tools and approach for analyzing data If your organization is ready to better understand why high performers leave, why one department has more personnel issues than another, and why employees violate, People Analytics For Dummies makes it easier.

The core of every company is its people, and Human Resources Management (HRM) is the key to handling all the complexities of human relations, compensation, conflict resolution, and much more. Strategies and tactics are needed to effectively manage the human resource potential that drives all companies to profitability and success. Human Resource Management Essentials You Always Wanted To Know guides readers through the challenges and provides tools to address those challenges. It provides an understanding of areas including: · The concept of HRM · Performance management strategies · Legal and regulatory compliance · Organizational development · Conflict management · Payroll and compensation · Information technology in HRM · Health and safety · Personnel development Human Resource Management Essentials is part of the Self-Learning Management Series focused on working professionals. The series addresses every aspect of business from HR to finance, marketing, and operations. Each book includes fundamentals, important concepts, and well-known principles, as well as practical applications of the subject matter.

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.