Predictive Analytics For Human Resources

Author: Jac Fitz-enz
Editor: John Wiley & Sons
ISBN: 1118893670
File Size: 23,66 MB
Format: PDF, ePub, Mobi
Read: 2478
Download

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.

Predictive Analytics In Human Resource Management

Author: Shivinder Nijjer
Editor: Taylor & Francis
ISBN: 1000208079
File Size: 17,25 MB
Format: PDF, Docs
Read: 5315
Download

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.

Human Capital Analytics

Author: Gene Pease
Editor: John Wiley & Sons
ISBN: 1118466764
File Size: 51,91 MB
Format: PDF, ePub
Read: 783
Download

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.

The New Hr Analytics

Author: Jac Fitz-enz
Editor: AMACOM/American Management Association
ISBN: 9780814416433
File Size: 74,35 MB
Format: PDF
Read: 9421
Download

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. The New HR Analytics is another such quantum leap, reveal ing how to predict the value of future human capital investments. Using Fitz-enz's proprietary analytic model, readers learn how to measure and evaluate past and current returns. By combining those results with focused business intelligence and applying the exclusive analytical tools in the book. Brimming with real world examples and input from thirty top HR practitioners and thought leaders, this groundbreaking book ushers in a new era in human resources and human capital management.

Predictive Hr Analytics

Author: Kirsten Edwards
Editor: Kogan Page Publishers
ISBN: 0749473924
File Size: 16,94 MB
Format: PDF, ePub
Read: 6275
Download

Where other functions of an organization deal in profits, sales growth, forecasts and strategic planning, the HR function is responsible for employee well-being, engagement and motivation. Such concerns do not immediately conjure up images of analytical know-how, despite the fact that in reality the management of such things often requires a lot of measurement and technical skill. Predictive HR Analytics provides a clear, accessible framework with which to understand and work with HR analytics at an advanced level, taking HR professionals through examples of particular predictive models so they can develop effective HR strategies based on evidence. Predictive HR Analytics will show step-by-step, using simple terms, how to carry out analysis (using the statistical package SPSS) and interpret the results, helping to communicate the potential of HR analytics and get the most out of the HR function, whether carrying out the analysis or briefing external consultants. The book will help deliver a credible and reliable service to businesses by providing metrics on which executives will be able to make sound business decisions. Online supporting resources include data sets for using alongside the book.

Predictive Hr Analytics

Author: Dr Martin R. Edwards
Editor: Kogan Page Publishers
ISBN: 0749484454
File Size: 23,31 MB
Format: PDF, Kindle
Read: 2143
Download

HR metrics and organizational people-related data are an invaluable source of information from which to identify key trends and patterns in order to make effective business decisions. HR practitioners often, however, lack the statistical and analytical know-how to fully harness their potential. Predictive HR Analytics provides a clear, accessible framework with which to understand and work with people analytics and advanced statistical techniques. Step-by-step and by using worked examples, this book shows readers how to carry out and interpret analyses of various forms of HR data, such as employee engagement, performance and turnover, using the statistical packages SPSS (with R syntax provided), and, importantly, how to use the results to enable practitioners to develop effective evidence-based HR strategies. This second edition of Predictive HR Analytics has been updated to include new material on machine learning, biased algorithms, data protection and GDPR considerations, a new example using Kaplan Meier Survival analyses for tenure/turnover modelling and updated screenshots and examples with SPSS version 25. It is supported by a new appendix showing main R coding for the focal analyses approaches in the book, and online resources consisting of SPSS and Excel data sets and R syntax with worked case study examples.

Statistical Tools And Analysis In Human Resources Management

Author: Bhattacharyya, Dipak Kumar
Editor: IGI Global
ISBN: 152254948X
File Size: 23,90 MB
Format: PDF, Mobi
Read: 8779
Download

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.

Developing Human Capital

Author: Gene Pease
Editor: John Wiley & Sons
ISBN: 111875350X
File Size: 35,37 MB
Format: PDF, ePub
Read: 9109
Download

Don't squander your most valuable resource! Collectively, your workers are your company's most important and most valuable asset. To make the most of this asset, nothing beats quantitative performance and investment measurement. Learning and Development is an 80 billion-dollar industry, and every valuable employee represents a sizable investment on the part of your company. To keep your business moving forward, effective management of human capital is crucial. It generates plenty of data, and deep analysis of this data helps you provide feedback and make adjustments to capitalize on the combined knowledge, skills, and creativity of your workers. Developing Human Capital: Using Analytics to Plan and Optimize Your Learning and Development Investments provides a guidebook for collecting, organizing, and analyzing the data surrounding human capital so you can make the most of your employees' potential. Use predictive analysis to optimize human capital investments Learn effective study design and alignment Get the tools you need for measurement, surveys, and analysis Decide what to measure and how to measure it Outline your company's current and future analytics technology needs Map data sources, and overcome barriers to data collection Authors Gene Pease, Bonnie Beresford, and Lew Walker provide case studies in which major companies applied human capital analytics to guide people decisions, and expand upon the role of analytics in Learning and Development. Developing Human Capital: Using Analytics to Plan and Optimize Your Learning and Development Investments is an essential guide to 21st century human resources and management practices, and can keep you from squandering your company's most valuable resource.

Hr Analytics

Author: Dipak Kumar Bhattacharyya
Editor: Sage Publications Pvt. Limited
ISBN: 9789386062710
File Size: 48,28 MB
Format: PDF
Read: 5694
Download

Human resource management function over the years -- HR decision-making and HR analytics -- Introduction to HR analytics -- HR business process and HR analytics -- Forecasting and measuring HR value propositions with HR analytics -- HR analytics and data -- HR analytics and predictive modelling -- HR analytics for future

Quantifiably Better

Author: Steve VanWieren
Editor: Technics Publications
ISBN: 1634622235
File Size: 23,52 MB
Format: PDF, Mobi
Read: 3619
Download

Your CEO just came to you, the HR leader, and said she was hearing rumors about the turnover rate going up. She asks you why this might be happening and how it is could be affecting the bottom line. Are there certain leadership issues? Are engagement levels changing? Is there a problem with the company culture? These are all logical questions. You have hunches for answers, but you have no way to prove those hunches. You know your CEO is going to want data to support any argument you make. You are sure that the answers to her questions are buried in the employee data collected in the different HR systems you have. You have been reading about “HR analytics”, and you wonder how you would answer her question differently if you really understood the data about your people. Quantifiably Better provides a path to follow in search of these answers. It will help you if you are just getting started with your HR analytics initiative, or if you are looking for ways to expand your existing HR analytics practice. In the end, you will find that the insights you desperately seek are easier to find than you ever imagined.

Practical Applications Of Hr Analytics

Author: Pratyush Banerjee
Editor: SAGE Publications Pvt. Limited
ISBN: 9789353282967
File Size: 66,90 MB
Format: PDF, Mobi
Read: 8501
Download

A comprehensive introduction to the know-how of HR analytics and its role in optimizing HR decision-making and driving organizational performance. In today’s technology-driven world, HR analytics is pivotal to measure, express and take focused HR decisions. Practical Applications of HR Analytics equips readers with the required tools and techniques to effectively identify, capture and utilize the vast amount of available data in making better informed business decisions. The text is lucid and packed with practical illustrative examples, hands-on exercises and datasets. It is an invaluable resource for management students and HR professionals who want to translate the benefits of HR analytics into practice, thus paving the way for evidence-based human resource management. Key Features: • Practical understanding of a range of open-source statistical GUI software. • Focus on both descriptive and predictive analytics in HR. • Chapter opening vignettes, industry examples and real-world case studies on application of HR analytics in organizations. • Supplementary exercises and soft copy of datasets provided on Google Drive Link to facilitate hands-on training.

People Analytics In The Era Of Big Data

Author: Jean Paul Isson
Editor: John Wiley & Sons
ISBN: 1119050782
File Size: 12,91 MB
Format: PDF, ePub, Docs
Read: 523
Download

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.

Fundamentals Of Hr Analytics

Author: Fermin Diez
Editor: Emerald Group Publishing
ISBN: 1789739616
File Size: 50,97 MB
Format: PDF, ePub, Mobi
Read: 5199
Download

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.

Predicting Business Success

Author: Matthew Betts
Editor:
ISBN: 9781586445379
File Size: 57,47 MB
Format: PDF, ePub
Read: 5435
Download

We know HR practices have a significant impact on an organization's bottom line, but too often HR leaders fail to demonstrate direct connections to the business metrics that matter most to executives. Predicting Business Success goes beyond the usual slicing and dicing of HR data to show HR professionals how to definitively connect the dots between people data and business outcomes with a straightforward approach for scaling analytics to all leaders and all levels, detailed strategies for collecting key data elements and making talent profiles predictive, and proven guidelines for harnessing data for selection and recruitment, onboarding, employee surveys, training needs, and much more.

Hr Analytics

Author: Tracey Smith
Editor: Numerical Insights LLC
ISBN: 1492739162
File Size: 67,31 MB
Format: PDF, ePub, Docs
Read: 2836
Download

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.

Human Capital Systems Analytics And Data Mining

Author: Robert C. Hughes
Editor: CRC Press
ISBN: 1498764797
File Size: 53,65 MB
Format: PDF, ePub, Mobi
Read: 4763
Download

Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and portable guide to human capital systems, analytics and data mining. The main purpose of this book is to provide a rich tool set of methods and tutorials for Human Capital Management Systems (HCMS) database modeling, analytics, interactive dashboards, and data mining that is independent of any human capital software vendor offerings and is equally usable and portable among both commercial and internally developed HCMS. The book begins with an overview of HCMS, including coverage of human resource systems history and current HCMS Computing Environments. It next explores relational and dimensional database management concepts and principles. HCMS Instructional databases developed by the Author for use in Graduate Level HCMS and Compensation Courses are used for database modeling and dashboard design exercises. Exciting knowledge discovery and research Tutorials and Exercises using Online Analytical Processing (OLAP) and data mining tools through replication of actual original pay equity research by the author are included. New findings concerning Gender Based Pay Equity Research through the lens Comparable Worth and Occupational Mobility are covered extensively in Human Capital Metrics, Analytics and Data Mining Chapters.

Human Value Management

Author: Jac Fitz-enz
Editor: Pfeiffer
ISBN: 9781555422288
File Size: 55,85 MB
Format: PDF, Kindle
Read: 7051
Download

Demonstrates how HR managers can play a more integral and dynamic role in their companies' growth by running human resources like a business. Shows how to shift focus from the administration of traditional personnel programs to proactive support for organizational goals.

Data Driven Decision Making For Small Businesses

Author: Tracey Smith
Editor: Numerical Insights LLC
ISBN: 1470187450
File Size: 70,37 MB
Format: PDF, Kindle
Read: 7950
Download

The reader of this book need not be a mathematician. This book is intended for the business-minded individual interested in learning about the strategic advantages which can be obtained from business analytics. Small Business Trends magazine reported that, "you don't need to be a Fortune 500 company with revenue in the stratosphere to benefit from the application of business intelligence. A simple analysis of data your business may already be collecting could hold the answer." Perhaps you would like to reduce your inventory, determine product and customer profitability, gain insight into customer ordering behaviour. Perhaps you would like to know where you are spending your business dollars or how to determine if your cash flow is getting better or worse. Is your business becoming more or less efficient as it grows? Perhaps you would like to predict upcoming retirements to determine the impact of the baby boomer generation on your organization. This book will present some of the simpler approaches to data analysis and will show the value of these analyses to business. The intent is to show the reader what is possible rather than teaching the mathematical techniques. From simple to the more advanced, this book will deliver a series of analytics suitable for anyone wishing to take their business to the next level. I will present a series of real-world case studies from various functional areas, the majority of which will be conducted with every day software that most businesses already possess. 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 analytics in the business world. Finally, I will provide some advice on data analysis and visualization tools. Specifically, I will focus on the tools that are available to the reader for prices that are in line with typical office software.

Optimize Your Greatest Asset Your People

Author: Gene Pease
Editor: John Wiley & Sons
ISBN: 1119004381
File Size: 73,44 MB
Format: PDF
Read: 256
Download

Drive better business strategy with practical analytics for people data Optimize Your Greatest Asset — Your People brings advanced analytics into Human Resources, giving you a framework for optimizing human capital investments through predictive analysis. You'll learn how to transition from anecdotes and surveys to more advanced measurement techniques, and combine the data from multiple systems into a unified plan of action that improves business results. Practical examples and case studies show how these techniques are applied in real-world settings, and executives and thought leaders weigh in on how advanced analytics are informing better business decisions every day. Coverage includes the latest research on the state of current HR measurement techniques, as well as the important considerations surrounding data security and employee trust. Executives and managers alike are swimming in pools of people data, spread across multiple systems that don't talk to each other. This book shows you how to bring that data together, organize it, and turn it into useful information, and how to build your data strategy to take advantage of the wealth of available tools. Produce actionable intelligence with data from multiple systems Move beyond activity metrics and into advanced measurements Create stronger policy covering security, privacy, and ethics Achieve sophisticated HR analytics without breaking employee trust It's time for HR leaders to get over their fear of Big Data. Good data drives good business, and human capital is the biggest asset a company has. Start measuring the things that matter, and start turning those measurements into actual information that goes beyond the spreadsheet. Optimize Your Greatest Asset — Your People shows you how to get started, and where to go from there.

Human Resource Management 2nd Edition

Author: Seema Sanghi
Editor: Vikas Publishing House
ISBN: 9352596439
File Size: 18,51 MB
Format: PDF, Kindle
Read: 8793
Download

Human Resource Management, 2e, presents multifaceted, up-to-date and all-inclusive information which will be useful to students and professionals pursuing human resource management (HRM). Going beyond the coverage of a traditional textbook, this book focuses on applied aspects of HRM, which capture the evolving challenges in the field. Application approach is followed to enrich them with as many examples as possible from not only India but from the world over, making the topics more meaningful.