| data analytics in human resource management: Human Resource Management Talya Bauer, Berrin Erdogan, David Caughlin, Donald Truxillo, 2018-11-29 Human resources is rapidly evolving into a data-rich field but with big data comes big decisions. The best companies understand how to use data to make strategic workforce decisions and gain significant competitive advantage. Human Resource Management: People, Data, and Analytics by Talya Bauer, Berrin Erdogan, David Caughlin, and Donald Truxillo introduces students to the fundamentals of talent management with integrated coverage of data analytics and how they can be used to inform and support decisions about people in an organization. Features tied to SHRM competencies and data exercises give readers hands-on opportunities to practice the analytical and decision-making skills they need to excel in today’s job market. Engaging examples illustrate key HRM concepts and theories, which brings many traditional HRM topics concepts to life. Whether your students are future managers or future HR professionals, they will learn best practices for managing talent across the lifecycle in the changing workplace. |
| data analytics in human resource management: Predictive Analytics for Human Resources Jac Fitz-enz, John Mattox, II, 2014-07-28 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. |
| data analytics in human resource management: Predictive Analytics in Human Resource Management Shivinder Nijjer, Sahil Raj, 2020 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-- |
| data analytics in human resource management: Data-Driven HR Bernard Marr, 2018-04-03 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. |
| data analytics in human resource management: Predictive Analytics for Human Resources Jac Fitz-enz, John Mattox, II, 2014-07-09 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. |
| data analytics in human resource management: Predictive HR Analytics Dr Martin R. Edwards, Kirsten Edwards, 2019-03-03 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. |
| data analytics in human resource management: Work Rules! Laszlo Bock, 2015-04-07 From the visionary head of Google's innovative People Operations comes a groundbreaking inquiry into the philosophy of work -- and a blueprint for attracting the most spectacular talent to your business and ensuring that they succeed. We spend more time working than doing anything else in life. It's not right that the experience of work should be so demotivating and dehumanizing. So says Laszlo Bock, former head of People Operations at the company that transformed how the world interacts with knowledge. This insight is the heart of Work Rules!, a compelling and surprisingly playful manifesto that offers lessons including: Take away managers' power over employees Learn from your best employees-and your worst Hire only people who are smarter than you are, no matter how long it takes to find them Pay unfairly (it's more fair!) Don't trust your gut: Use data to predict and shape the future Default to open-be transparent and welcome feedback If you're comfortable with the amount of freedom you've given your employees, you haven't gone far enough. Drawing on the latest research in behavioral economics and a profound grasp of human psychology, Work Rules! also provides teaching examples from a range of industries-including lauded companies that happen to be hideous places to work and little-known companies that achieve spectacular results by valuing and listening to their employees. Bock takes us inside one of history's most explosively successful businesses to reveal why Google is consistently rated one of the best places to work in the world, distilling 15 years of intensive worker R&D into principles that are easy to put into action, whether you're a team of one or a team of thousands. Work Rules! shows how to strike a balance between creativity and structure, leading to success you can measure in quality of life as well as market share. Read it to build a better company from within rather than from above; read it to reawaken your joy in what you do. |
| data analytics in human resource management: The Practical Guide to HR Analytics Shonna D. Waters, Rachael Johnson-Murray, Valerie N. Streets, Lindsay McFarlane, 2018 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. |
| data analytics in human resource management: Predictive Analytics in Human Resource Management Shivinder Nijjer, Sahil Raj, 2020 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 organisational impact, to aid in strategising 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 (ANNs) 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 individual chapter 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 readers interested in learning more about statistics or programming. |
| data analytics in human resource management: Data Management, Analytics and Innovation Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, 2019-10-24 This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. |
| data analytics in human resource management: Human Resource Management Talya Bauer, Berrin Erdogan, David Caughlin, Donald Truxillo, 2023-09-04 Human resources is rapidly evolving into a data-rich field but with big data comes big decisions. The best companies understand how to use data to make strategic workforce decisions and gain significant competitive advantage. Human Resource Management: People, Data, and Analytics, Second Edition introduces students to the fundamentals of talent management with integrated coverage of analytics in every chapter. Features tied to SHRM competencies and data exercises give students hands-on opportunities to practice the analytical and decision-making skills they need to excel in today’s job market. Whether your students are future managers or future HR professionals, they will learn best practices for managing talent across the lifecycle in the changing workplace. This title is accompanied by a complete teaching and learning package. Contact your Sage representative to request a demo. Learning Platform / Courseware Sage Vantage is an intuitive learning platform that integrates quality Sage textbook content with assignable multimedia activities and auto-graded assessments to drive student engagement and ensure accountability. Unparalleled in its ease of use and built for dynamic teaching and learning, Vantage offers customizable LMS integration and best-in-class support. It’s a learning platform you, and your students, will actually love. Learn more. Assignable Video with Assessment Assignable video (available in Sage Vantage) is tied to learning objectives and curated exclusively for this text to bring concepts to life. Watch a sample video now. LMS Cartridge: Import this title’s instructor resources into your school’s learning management system (LMS) and save time. Don’t use an LMS? You can still access all of the same online resources for this title via the password-protected Instructor Resource Site. Learn more. |
| data analytics in human resource management: Introduction to People Analytics Nadeem Khan, Dave Millner, 2020-04-03 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. |
| data analytics in human resource management: Excellence in People Analytics Jonathan Ferrar, David Green, 2021-07-03 Effectively and ethically leveraging people data to deliver real business value is what sets the best HR leaders and teams apart. Excellence in People Analytics provides business and human resources leaders with everything they need to know about creating value from people analytics. Written by two leading experts in the field, this practical guide outlines how to create sustainable business value with people analytics and develop a data-driven culture in HR. Most importantly, it allows HR professionals and business executives to translate their data into tangible actions to improve business performance. while navigating the rapidly evolving world of work. Full of practical tools and advice assembled around the Insight222 Nine Dimensions in People Analytics® model, this book demonstrates how to use people data to increase profits, improve staff retention and workplace productivity as well as develop individual employee experience. Featuring case studies from leading companies including Microsoft, HSBC, Syngenta, Capital One, Novartis, Bosch, Uber, Santander Brasil and American Eagle Outfitters®, Excellence in People Analytics is essential reading for all HR professionals needing to unlock the potential in their people data and gain competitive advantage |
| data analytics in human resource management: HR Analytics Tracey Smith, 2013-10-22 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. |
| data analytics in human resource management: The Power of People Nigel Guenole, Jonathan Ferrar, Sheri Feinzig, 2017-05-19 Learn from Today’s Most Successful Workforce Analytics Leaders Transforming the immense potential of workforce analytics into reality isn’t easy. Pioneering practitioners have learned crucial lessons that can help you succeed. The Power of People shares their journeys—and their indispensable insights. Drawing on incisive case studies and vignettes, three experts help you bring purpose and clarity to any workforce analytics project, with robust research design and analysis to get reliable insights. They reveal where to start, where to find stakeholder support, and how to earn “quick wins” to build upon. You’ll learn how to sustain success through best-practice data management, technology usage, partnering, and skill building. Finally, you’ll discover how to earn even more value by establishing an analytical mindset throughout HR, and building two key skills: storytelling and visualization. The Power of People will be invaluable to HR executives establishing or leading analytics functions; HR professionals planning analytics projects; and any business executive who wants more value from HR. |
| data analytics in human resource management: Data-Driven HR Irma Doze, Toine Al, 2019-09-10 Many organizations wrestle with questions, even as they sit atop a treasure trove of valuable information collected by their HR information systems and other business software. This book, a best seller in the Netherlands (Dutch version), shows how you can answer those questions and how you can create value using HR metrics and HR analytics. |
| data analytics in human resource management: Statistical Tools and Analysis in Human Resources Management Bhattacharyya, Dipak Kumar, 2018-01-12 Recently, the use of statistical tools, methodologies, and models in human resource management (HRM) has increased because of human resources (HR) analytics and predictive HR decision making. To utilize these technological tools, HR managers and students must increase their knowledge of the resources’ optimum application. Statistical Tools and Analysis in Human Resources Management is a critical scholarly resource that presents in-depth details on the application of statistics in every sphere of HR functions for optimal decision-making and analytical solutions. Featuring coverage on a broad range of topics such as leadership, industrial relations, training and development, and diversity management, this book is geared towards managers, professionals, upper-level students, administrators, and researchers seeking current information on the integration of HRM technologies. |
| data analytics in human resource management: Big Data in Organizations and the Role of Human Resource Management Tobias M. Scholz, 2017 Big data are changing the way we work. This book conveys a theoretical understanding of big data and the related interactions on a socio-technological level as well as on the organizational level. Big data challenge the human resource department to take a new role. An organization's new competitive advantage is its employees augmented by big data. |
| data analytics in human resource management: Fundamentals of HR Analytics Fermin Diez, Mark Bussin, Venessa Lee, 2019-11-11 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. |
| data analytics in human resource management: Big Data at Work Scott Tonidandel, Eden B. King, Jose M. Cortina, 2015-11-06 The amount of data in our world has been exploding, and analyzing large data sets—so called big data—will become a key basis of competition in business. Statisticians and researchers will be updating their analytic approaches, methods and research to meet the demands created by the availability of big data. The goal of this book is to show how advances in data science have the ability to fundamentally influence and improve organizational science and practice. This book is primarily designed for researchers and advanced undergraduate and graduate students in psychology, management and statistics. |
| data analytics in human resource management: Introducing HR Analytics with Machine Learning Christopher M. Rosett, Austin Hagerty, 2021-06-14 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. |
| data analytics in human resource management: Human Capital Analytics Gene Pease, Boyce Byerly, Jac Fitz-enz, 2012-10-30 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. |
| data analytics in human resource management: People Analytics in the Era of Big Data Jean Paul Isson, Jesse S. Harriott, 2016-04-21 Apply predictive analytics throughout all stages of workforce management People Analytics in the Era of Big Data provides a blueprint for leveraging your talent pool through the use of data analytics. Written by the Global Vice President of Business Intelligence and Predictive Analytics at Monster Worldwide, this book is packed full of actionable insights to help you source, recruit, acquire, engage, retain, promote, and manage the exceptional talent your organization needs. With a unique approach that applies analytics to every stage of the hiring process and the entire workforce planning and management cycle, this informative guide provides the key perspective that brings analytics into HR in a truly useful way. You're already inundated with disparate employee data, so why not mine that data for insights that add value to your organization and strengthen your workforce? This book presents a practical framework for real-world talent analytics, backed by groundbreaking examples of workforce analytics in action across the U.S., Canada, Europe, Asia, and Australia. Leverage predictive analytics throughout the hiring process Utilize analytics techniques for more effective workforce management Learn how people analytics benefits organizations of all sizes in various industries Integrate analytics into HR practices seamlessly and thoroughly Corporate executives need fact-based insights into what will happen with their talent. Who should you hire? Who should you promote? Who are the top or bottom performers, and why? Who is at risk to quit, and why? Analytics can provide these answers, and give you insights based on quantifiable data instead of gut feeling and subjective assessment. People Analytics in the Era of Big Data is the essential guide to optimizing your workforce with the tools already at your disposal. |
| data analytics in human resource management: HR Analytics and Innovations in Workforce Planning Tony Miller, 2016-12-29 The very latest research shows that a process approach to interviewing provides greater structure and has the potential for significantly reducing bias. Learn how to deter and filter the poor performers and benefit from structured prewritten score able questions that will really make a difference to interviewing effectiveness and securing talented people. In a time when all organizations are striving to get the best talented people, it makes sense for organizations to upgrade and review their interviewing procedures and incorporate whatever techniques are available to reduce interviewing errors. The evidence shows that many HR functions have failed in the past to understand the long-term financial consequences of poor performance or to realize that talented people do so much more work than other employees. Financial examples are shown in this book using data from the 2015 work done survey. Successful talent recruitment is critical to any organization’s long-term success. This book gives you a detailed guide to the entire nine-step process with worked examples. |
| data analytics in human resource management: The New HR Analytics Jac FITZ-ENZ, 2010-05-12 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. |
| data analytics in human resource management: Introduction to Employment Law Kathy Daniels, 2019-01-03 Understand the theory and practical application of UK employment law without the need for any prior legal knowledge. Written specifically for HR and Business students, Introduction to Employment Law is a clear and accessible guide to employment law and how it applies in practice. Covering everything from employment tribunals and discrimination to redundancy and termination of employment, this textbook doesn't assume any prior knowledge of the UK legal system and equips students with all the knowledge and skills that they need to take forward into the workplace. Fully revised with all the latest cases and legal developments, this new edition includes coverage of hot topics such as defining employment status in the gig economy, gender pay reporting, the General Data Protection Regulation (GDPR) and the legal implications to be considered with Britain's withdrawal from the European Union. Packed with pedagogical features to consolidate learning including chapter objectives, tasks, 'explore further' sections, key learning points and examples to work through, as well as a dedicated study skills chapter, Introduction to Employment Law is essential reading for all students studying the CIPD Level 5 Intermediate module in employment law as well as being a useful resource for those studying at level 3 and an accessible introduction for level 7 and those on undergraduate and postgraduate courses needing a thorough grounding in employment law. Online resources include lecture slides, case studies, multiple choice questions, annotated weblinks and an instructor's manual. |
| data analytics in human resource management: bookdown Yihui Xie, 2016-12-12 bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends R Markdown for technical writing, so that you can make better use of document elements such as figures, tables, equations, theorems, citations, and references. Similar to LaTeX, you can number and cross-reference these elements with bookdown. Your document can even include live examples so readers can interact with them while reading the book. The book can be rendered to multiple output formats, including LaTeX/PDF, HTML, EPUB, and Word, thus making it easy to put your documents online. The style and theme of these output formats can be customized. We used books and R primarily for examples in this book, but bookdown is not only for books or R. Most features introduced in this book also apply to other types of publications: journal papers, reports, dissertations, course handouts, study notes, and even novels. You do not have to use R, either. Other choices of computing languages include Python, C, C++, SQL, Bash, Stan, JavaScript, and so on, although R is best supported. You can also leave out computing, for example, to write a fiction. This book itself is an example of publishing with bookdown and R Markdown, and its source is fully available on GitHub. |
| data analytics in human resource management: People Analytics For Dummies Mike West, 2019-03-19 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. |
| data analytics in human resource management: Hr Analytics Essentials You Always Wanted To Know Vibrant Publishers, Dr. Michael Walsh, 2021-04-06 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. |
| data analytics in human resource management: HR Analytics and Digital HR Practices Subhra R Mondal, Francesca Di Virgilio, Subhankar Das, 2021-12-13 This book discusses the effect of global pandemic, Covid-19, on human resource and draws strategies with new job designing tools and techniques. It provides insights on how to develop new strategies for HR professionals in corporates and academicians. This book explores the implication of descriptive, predictive and prescriptive HR analytics practices for different functional domains and in different countries during COVID-19. It brings new dimensions of study in HR analytics which are sure to change after COVID-19 as it has affected the way people are going to work. |
| data analytics in human resource management: HR Analytics Dipak Kumar Bhattacharyya, 2017-05-26 How can predictive analytics help HR personnel to make more informed decisions? How has analytics extended a new perspective to express HR activities in measurable and objective terms? The introduction of analytics has induced a shift in the traditional HR function-from human resource management (HRM) to human capital management (HCM). HR Analytics reflects on this crucial role of analytics and predictive modelling in human resource settings within modern-day organizations. Keeping in view the emerging need among HR professionals and analysts, this textbook offers interesting insights into the use of analytics to aid strategic decision making. Key Features • Goes beyond traditional HR metrics and scorecard, and discusses the major advances and application of big data in HR decision making • Special focus on measurement of value propositions, data collection and visualization among others • Chapter opening cases, industry insights and caselets throughout the book to give real-life perspectives • Engaging exercises and assignments for students • Ancillary teaching materials for instructors on the dedicated companion website |
| data analytics in human resource management: The Training Measurement Book Josh Bersin, 2008-04-22 The Training Measurement Book offers managers, executives, and training and human resource professionals a method for measuring their investments in a way that provides information that is both actionable, credible, and meaningful to corporate leaders. Using the methods outlined in this important resource, you can free yourself from traditional, often cumbersome measurement models and put in place pragmatic, useful, and easy-to-implement approaches for measuring training activities. |
| data analytics in human resource management: The Basic Principles of People Analytics Erik Van Vulpen, 2019-05-08 People analytics (also known as HR analytics) is revolutionizing Human Resource Management. Get ready for the future of HR and discover how you can leverage the power of data to drive better outcomes for your business and employees. We set out to write an inspiring book for (HR) professionals, managers, and directors who want to get a feel for the scope of HR analytics and learn how it can help both the employees and the business. In this book, we combined our experiences with lots of inspiring examples. It's concise, easy to read and teaches you all the basic principles of people analytics. After reading this book, you will: - have a solid understanding of what HR analytics is - know the difference between HR analytics and HR reporting - have a clear picture of the scope and the added value of HR analytics - understand the capabilities needed to build an HR analytics team - have plenty of ideas for applying HR analytics to your organization - know which pitfalls to avoid to prevent failure Who should read this book? If you're new to HR analytics and want to learn all the basics without having to plow through pages full of jargon, this book is for you. It's concise and easy to read, especially for people without a background in statistics or IT. Also if you're not working in human resource management yet and want to explore this exciting new field, this book provides you the foundation you are looking If you already have a career in HR analytics and are looking for in-depth knowledge and information, this book is NOT for you. It's definitely interesting and inspiring for those who have already started but don't expect in-depth (statistical) information. |
| data analytics in human resource management: New Paradigm in Decision Science and Management Srikanta Patnaik, Andrew W. H. Ip, Madjid Tavana, Vipul Jain, 2019-09-20 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. |
| data analytics in human resource management: The HR Scorecard Brian E. Becker, David Ulrich, Mark A. Huselid, 2001-04-11 Three experts in Human Resources introduce a measurement system that convincingly showcases how HR impacts business performance. Drawing from the authors' ongoing study of nearly 3,000 firms, this book describes a seven-step process for embedding HR systems within the firm's overall strategy—what the authors describe as an HR Scorecard—and measuring its activities in terms that line managers and CEOs will find compelling. Analyzing how each element of the HR system can be designed to enhance firm performance and maximize the overall quality of human capital, this important book heralds the emergence of HR as a strategic powerhouse in today's organizations. |
| data analytics in human resource management: Implementing Reproducible Research Victoria Stodden, Friedrich Leisch, Roger D. Peng, 2014-04-14 In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must be available for widely distributing the data and code. In addition, both data and code need to be licensed permissively enough so that others can reproduce the work without a substantial legal burden. Implementing Reproducible Research covers many of the elements necessary for conducting and distributing reproducible research. It explains how to accurately reproduce a scientific result. Divided into three parts, the book discusses the tools, practices, and dissemination platforms for ensuring reproducibility in computational science. It describes: Computational tools, such as Sweave, knitr, VisTrails, Sumatra, CDE, and the Declaratron system Open source practices, good programming practices, trends in open science, and the role of cloud computing in reproducible research Software and methodological platforms, including open source software packages, RunMyCode platform, and open access journals Each part presents contributions from leaders who have developed software and other products that have advanced the field. Supplementary material is available at www.ImplementingRR.org. |
| data analytics in human resource management: Fundamentals of Human Resource Management Talya Bauer, Berrin Erdogan, David Caughlin, Donald Truxillo, 2019-12-10 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. |
| data analytics in human resource management: The Fourth Industrial Revolution Klaus Schwab, 2017-01-03 World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wearable sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manufacturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individuals. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frameworks that advance progress. |
| data analytics in human resource management: The Practical Guide to HR Analytics Shonna D. Waters, Valerie N. Streets, Lindsay McFarlane, Rachael Johnson-Murray, 2018 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. |
| data analytics in human resource management: Digital Business Strategies in Blockchain Ecosystems Umit Hacioglu, 2019-11-09 This book analyzes the effects of the latest technological advances in blockchain and artificial intelligence (AI) on business operations and strategies. Adopting an interdisciplinary approach, the contributions examine new developments that change the rules of traditional management. The chapters focus mainly on blockchain technologies and digital business in the Industry 4.0 context, covering such topics as accounting, digitalization and use of AI in business operations and cybercrime. Intended for academics, blockchain experts, students and practitioners, the book helps business strategists design a path for future opportunities. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open …
Belmont Forum Adopts Open Data Principles for Environme…
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data …
Belmont Forum Data Accessibility Statement an…
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. …
