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Applying Advanced Analytics to HR Management Decisions

Applying Advanced Analytics to HR Management Decisions
Author: James C. Sesil
Publisher: Pearson Education
Total Pages: 177
Release: 2014
Genre: Business & Economics
ISBN: 0133064603
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Dramatically improve human capital management decisions by applying advanced analytics and "Big Data" technologies and processes! Pioneering HR technology expert James Sesil identifies widespread flaws in today's HR decision-making processes, and reveals how advanced analytics can help organizations make far more robust decisions about employee selection, performance management, strategy alignment, collaboration, and more. In this book he shows how to integrate Business Intelligence, ERP, Strategy Maps, Talent Management Suites, and advanced analytics -- and use them together to make far better decisions. You'll learn how to measure and improve the value of HCM decision-making in workforce/succession planning, talent acquisition, career development, corporate learning, and beyond. Sesil teaches key lessons from sources ranging from online dating services to Moneyball-style sports player selection processes. He shows how to systematically improve decision-making through more complete and sophisticated collaboration and new Collective Intelligence approaches. You'll learn how to use both internal and external data sources more effectively, and review a wide variety of advanced tools now available from vendors such as OrcaEyes, Vemo, Aruspex, Peoplefluent, Infor/Lawson, DecisionLens, Oracle, Ultimate, Cogniti, IBM, SAP, and Microsoft. Sesil concludes by demonstrating how to build "data driven" cultures and organizations that truly want to bring objectivity to decision-making, and will actually use these remarkable new tools. This book will be an invaluable resource for every HR executive, manager, analyst, and IT professional seeking new opportunities for competitive advantage through human capital and technological innovation.

Introducing HR Analytics with Machine Learning

Introducing HR Analytics with Machine Learning
Author: Christopher M. Rosett
Publisher: Springer Nature
Total Pages: 266
Release: 2021-06-14
Genre: Psychology
ISBN: 3030676269
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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.

The Practical Guide to HR Analytics

The Practical Guide to HR Analytics
Author: Shonna D. Waters
Publisher:
Total Pages: 0
Release: 2018
Genre: Business & Economics
ISBN: 9781586445324
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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.

Predictive Analytics in Human Resource Management

Predictive Analytics in Human Resource Management
Author: Shivinder Nijjer
Publisher: Taylor & Francis
Total Pages: 199
Release: 2020-12-03
Genre: Business & Economics
ISBN: 1000208133
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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.

Optimize Your Greatest Asset -- Your People

Optimize Your Greatest Asset -- Your People
Author: Gene Pease
Publisher: John Wiley & Sons
Total Pages: 224
Release: 2015-07-27
Genre: Business & Economics
ISBN: 1119039975
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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.

Fundamentals of Human Resource Management

Fundamentals of Human Resource Management
Author: Talya Bauer
Publisher: SAGE Publications
Total Pages: 534
Release: 2019-12-10
Genre: Business & Economics
ISBN: 1544397267
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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.

Predictive HR Analytics

Predictive HR Analytics
Author: Dr Martin R. Edwards
Publisher: Kogan Page Publishers
Total Pages: 537
Release: 2019-03-03
Genre: Business & Economics
ISBN: 0749484454
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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.

The Practical Guide to HR Analytics

The Practical Guide to HR Analytics
Author: Shonna D. Waters
Publisher:
Total Pages:
Release: 2018
Genre: Electronic books
ISBN: 9781586445348
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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.

Effective Human Resource Management

Effective Human Resource Management
Author: Edward Lawler
Publisher: Stanford University Press
Total Pages: 213
Release: 2012-07-04
Genre: Business & Economics
ISBN: 0804782687
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Effective Human Resource Management is the Center for Effective Organizations' (CEO) sixth report of a fifteen-year study of HR management in today's organizations. The only long-term analysis of its kind, this book compares the findings from CEO's earlier studies to new data collected in 2010. Edward E. Lawler III and John W. Boudreau measure how HR management is changing, paying particular attention to what creates a successful HR function—one that contributes to a strategic partnership and overall organizational effectiveness. Moreover, the book identifies best practices in areas such as the design of the HR organization and HR metrics. It clearly points out how the HR function can and should change to meet the future demands of a global and dynamic labor market. For the first time, the study features comparisons between U.S.-based firms and companies in China, Canada, Australia, the United Kingdom, and other European countries. With this new analysis, organizations can measure their HR organization against a worldwide sample, assessing their positioning in the global marketplace, while creating an international standard for HR management.

Data-Driven HR

Data-Driven HR
Author: Bernard Marr
Publisher: Kogan Page Publishers
Total Pages: 265
Release: 2018-04-03
Genre: Business & Economics
ISBN: 0749482478
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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.