Predictive Hr Analytics
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Predictive Analytics For Human Resources
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Author : Jac Fitz-enz
language : en
Publisher: John Wiley & Sons
Release Date : 2014-07-28
Predictive Analytics For Human Resources written by Jac Fitz-enz and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-28 with Business & Economics categories.
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 Hr Analytics
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Author : Dr Martin R. Edwards
language : en
Publisher: Kogan Page Publishers
Release Date : 2019-03-03
Predictive Hr Analytics written by Dr Martin R. Edwards and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-03 with Business & Economics categories.
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.
Predictive Hr Analytics Text Mining And Organizational Network Analysis With Excel
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Author : Dpg
language : en
Publisher: Independently Published
Release Date : 2019-06-30
Predictive Hr Analytics Text Mining And Organizational Network Analysis With Excel written by Dpg and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-30 with categories.
A lot of organizational data is often untapped unstructured data in the form of text & numbers. You don't need to spend months learning R programming & you don't need to buy expensive SPSS statistical software. This is the only book that teaches you how to use Microsoft Excel for Predictive HR Analytics, Text Mining & Organizational Network Analysis (ONA) with step-by-step print-screen instructions: 1) Predictive HR Analytics: Use Excel's Statistical Analysis tools (Decision trees, Correlation, Multiple & Logistic Regression) to run Predictive HR Analytics. E.g. an employee is predicted to have a 60% probability of getting into accidents, if he is age 25, worked 1 year in the company & took 6 days sick leave. An employee is predicted to get rated "7" for Customer Service, if the training program that he attended has a training evaluation score of "8". An employee is predicted to resign if she is age 23, worked for 2 years, and takes 60 minutes to commute to work. 2) Organizational Network Analysis (ONA): Run ONA using Excel's network analysis tool. Learn how to convert an employee's organizational network into a score & then predict if they will be a high-potential (HiPo). E.g. an employee is predicted to be a HiPo with performance rating of "9", if his "Social Network Size" is "16", "Social Network Diversity Index" is "3" & "Competency Score" is "8". 3) Text Mining, Sentiment Analysis & Word Clouds: Mine text from social network posts, employee engagement surveys & Glassdoor comments, then run Sentiment Analysis using Excel & visualize the insights with "Word Clouds". Learn how to predict a company's average employee attrition rate based on its sentiment. E.g. a company's average employee attrition rate is predicted to be 8%, if unemployment rate is 3%, GDP growth is 2%, Glassdoor public sentiment rating is "5", and engagement score is "7".
Hr Analytics And Digital Hr Practices
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Author : Subhra R Mondal
language : en
Publisher: Palgrave Macmillan
Release Date : 2021-12-14
Hr Analytics And Digital Hr Practices written by Subhra R Mondal and has been published by Palgrave Macmillan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-14 with Business & Economics categories.
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.
The Practical Guide To Hr Analytics
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Author : Shonna D. Waters
language : en
Publisher: Kogan Page Publishers
Release Date : 2018-06-15
The Practical Guide To Hr Analytics written by Shonna D. Waters and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-15 with Computers categories.
HR professionals are increasingly expected to understand and apply data analytics, but many don't know where to start. The Practical Guide to HR Analytics offers a clear, practical guide to understanding and applying data to real-world HR issues. From making the business case for analytics to launching an HR analytics function, the book walks readers through the forms, uses, and interpretations of data in an HR context. It covers essential topics like avoiding common pitfalls, visualizing data effectively and using storytelling to communicate findings. With straightforward language and actionable advice, it helps demystify analytics for professionals at all levels. Whether you're new to analytics or seeking to sharpen your skills, this is your go-to resource for data-driven HR.
The New Hr Analytics
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Author : Jac Fitz-Enz
language : en
Publisher: Thomas Nelson
Release Date : 2010-05
The New Hr Analytics written by Jac Fitz-Enz and has been published by Thomas Nelson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05 with Business & Economics categories.
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, revealing 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, they will be able 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 * Recognize risks and formulate responses that avoid surprises * Support decision making by predicting the actions that will yield the best returns 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.
Introducing Hr Analytics With Machine Learning
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Author : Christopher M. Rosett
language : en
Publisher: Springer Nature
Release Date : 2021-06-14
Introducing Hr Analytics With Machine Learning written by Christopher M. Rosett and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-14 with Psychology categories.
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.
Human Capital Analytics
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Author : Gene Pease
language : en
Publisher: John Wiley & Sons
Release Date : 2012-10-30
Human Capital Analytics written by Gene Pease and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-30 with Business & Economics categories.
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.
People Analytics In The Era Of Big Data
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Author : Jean Paul Isson
language : en
Publisher: John Wiley & Sons
Release Date : 2016-04-21
People Analytics In The Era Of Big Data written by Jean Paul Isson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-21 with Business & Economics categories.
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.
Predicting Business Success
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Author : Matt Betts
language : en
Publisher: Kogan Page Publishers
Release Date : 2018-06-08
Predicting Business Success written by Matt Betts and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-08 with Computers categories.
HR leaders know people drive business results but often struggle to prove it with data. Predicting Business Success empowers HR professionals to move beyond basic metrics and directly connect talent data to the outcomes executives care about. This practical guide provides a step-by-step approach to scaling analytics organization-wide, making talent profiles predictive and using data to inform key areas such as hiring, onboarding, surveys and training. With actionable strategies for data collection and application, it shows how to embed analytics into everyday decision-making at every level. For HR teams looking to increase influence and drive measurable business impact, this book is an essential roadmap.