Employee Retention Data Analysis

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  employee retention data analysis: 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.
  employee retention data analysis: Global Talent Retention David G. Allen, James M. Vardaman, 2021-09-30 Through extensive research Global Talent Retention: Understanding Employee Turnover Around the World addresses the need for turnover theory and research to give more careful consideration to global and cross-cultural perspectives on employee retention, and includes contributions from a global range of scholars.
  employee retention data analysis: Managing Employee Retention Jack J. Phillips, Adele O. Connell, 2004-02-18 During the past decade, employee turnover has become a very serious problem for organizations. Managing retention and keeping the turnover rate below target and industry norms is one of the most challenging issues facing business. All indications point toward the issue compounding in the future and, even as economic times change, turnover will continue to be an important issue for most job groups. Yet despite these facts employee turnover continues to be the most unappreciated and undervalued issue facing business leaders. There are a variety of reasons for this, for example, the true cost of employee turnover is often underestimated. The causes of turnover are not adequately identified, and solutions are often not matched with the causes, so they fail. Preventive measures are either not in place or do not target the issues properly, and therefore have little or no effect, and a method for measuring progress and identifying a monetary value (ROI) on retention does not exist in most organizations. 'Managing Employee Retention' is a practical guide for managers to retain their talented employees. It shows how to manage and monitor turnover and how to develop the ROI of keeping your talent using innovative retention programs. The book presents a logical process of managing retention, from identifying turnover costs and causes, designing solutions that match the causes of turnover, developing tools for tracking turnover and placing alerts when action is needed, and measuring the ROI of retention programs.
  employee retention data analysis: The Analysis of Firms and Employees Stefan Bender, Julia Lane, Kathryn L. Shaw, Fredrik Andersson, Till von Wachter, 2009-05-15 The long-term impact of globalization, outsourcing, and technological change on workers is increasingly being studied by economists. At the nexus of labor economics, industry studies, and industrial organization, The Analysis of Firms and Employees presents new findings about these impacts by examining the interaction between the internal workings of businesses and outside influences from the market using data from countries around the globe. The result is enhanced insight into the dynamic interrelationship between firms and workers. A distinguished team of researchers here examines the relationships between human resource practices and productivity, changing ownership and production methods, and expanding trade patterns and firm competitiveness. With analyses of large-scale, nationwide datasets as well as focused, intensive observation of a few firms, The Analysis of Firms and Employees will challenge economists, policymakers, and scholars alike to rethink their assumptions about the workplace.
  employee retention data analysis: 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON) IEEE Staff, 2021-09-24 Power Energy and Industry applications , Computing Communication, IOT AI Robotics
  employee retention data analysis: An Analysis of Employee Retention Practices Within a Large Complex Organization Sunil Jaigobin Ramlall, 2001
  employee retention data analysis: HR ANALYTICS GUPTA, DEEPA, GUPTA, MUKUL, GUPTA, PARTH MUKUL, 2024-03-08 This book provides a comprehensive overview of various aspects of HR analytics. It delves into important definitions, the significance of HR analytics, methods of data collection and management, as well as specific areas such as recruitment analytics, performance management analytics, employee engagement analytics, and diversity, equity and inclusion (DEI) analytics. The book also explores ethical considerations, implementation strategies, and the role of HR analytics in workforce planning, succession planning, and employee wellness. Additionally, it discusses monitoring the impact of interventions and offers insights into the future of HR analytics. Besides, it offers a range of practical tools and templates for various applications. KEY FEATURES • Comprehensive coverage: Covers a wide range of topics related to HR analytics from the basics to more specialized areas. • Diverse tools and techniques: Includes discussions on various data analysis techniques, such as predictive analytics, machine learning, and statistical modelling. • Practical templates and forms: Inclusion of templates and forms, such as employee attitude surveys and KPI dashboards, make this book more hands-on and practical. • Ethical and legal considerations: Focusses on ethics and compliance/legal considerations for the evolving landscape of HR analytics. • Future-oriented content: Discusses on the future of HR analytics and emerging trends is a dimension of forward-looking. • Agile HR analytics: Includes Agile HR Analytics as an emerging trend. • Staying updated: Acknowledges the importance of staying updated on HR analytics trends. • Clarity and accessibility: Presents a clear, accessible, and engaging text making the book reader-friendly. • The book primarily intended to the students of business schools is equally valuable to the professionals in the field. For instructor’s resources, visit https://www.phindia.com/HR_ analytics_deepa_mukul_partha TARGET AUDIENCE • MBA — HR • Data Analytics and HR Professionals
  employee retention data analysis: Managing Employee Turnover David G. Allen, 2012-09-04 Employee turnover can be expensive, disruptive, and damaging to organizational success. Despite the importance of successfully managing turnover, many retention management efforts are based on misleading or incomplete data, generic best practices that don’t translate, or managerial gut instinct at odds with research evidence. This book culminates volumes of academic research on employee turnover into a practical guide to managing retention. Turnover fictions are dispelled and replaced by research-based facts. Keys to diagnosing and managing employee turnover are presented such that you can effectively manage employee retention today. These ideas will be invaluable to you and anyone who cares about the impact of turnover on the organization, including the CEO who is looking at the impact on the bottom line, managers who suffer when their best talent leaves, and human resource professionals whose career success may depend on effectively managing turnover.
  employee retention data analysis: Analytics at Work Thomas H. Davenport, Jeanne G. Harris, Robert Morison, 2010 As a follow-up to the successful Competing on Analytics, authors Tom Davenport, Jeanne Harris, and Robert Morison provide practical frameworks and tools for all companies that want to use analytics as a basis for more effective and more profitable decision making. Regardless of your company's strategy, and whether or not analytics are your company's primary source of competitive differentiation, this book is designed to help you assess your organization's analytical capabilities, provide the tools to build these capabilities, and put analytics to work. The book helps you answer these pressing questions: What assets do I need in place in my organization in order to use analytics to run my business? Once I have these assets, how do I deploy them to get the most from an analytic approach? How do I get an analytic initiative off the ground in the first place, and then how do I sustain analytics in my organization over time? Packed with tools, frameworks, and all new examples, Analytics at Work makes analytics understandable and accessible and teaches you how to make your company more analytical.
  employee retention data analysis: 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
  employee retention data analysis: Global Practices on Effective Talent Acquisition and Retention Christiansen, Bryan, Aziz, Muhammad Abdul, O'Keeffe, Elle Lily, 2024-06-03 Studies have indicated that employers across the globe face difficulties in filling critical roles, sparking a worldwide war for talent. This talent war, once a temporary market condition, has now solidified into the New Normal. Leaders recognize that success in this era demands the construction of optimal teams for strategic competitive advantage amid global uncertainty and hypercompetition. As explored in detail within the pages of Global Practices on Effective Talent Acquisition and Retention, this book serves as an indispensable guide for scholars and practitioners navigating the intricacies of talent management in the current global scenario. This project aspires to create a comprehensive reference material delving into diverse aspects of current global talent realities. It aims to provide scholars and practitioners with recent empirical, practical, and theoretical research on talent acquisition and retention practices worldwide. The emphasis is on sustainable practices that drive organizational success across multiple industries. The impact of this publication will resonate in both application and the direction of future research.
  employee retention data analysis: Employee Retention and Turnover Peter W. Hom, David G. Allen, Rodger W. Griffeth, 2019-08-28 This exploration of what employee turnover is, why it happens, and what it means for companies and employees draws together contemporary and classic theories and research to present a well-rounded perspective on employee retention and turnover. The book uses models such as job embeddedness theory, proximal withdrawal states, and context-emergent turnover theory, as well as highlights cultural differences affecting global differences in turnover. Employee Retention and Turnover contextualises the issue of turnover, its causes and its consequences, before discussing underrepresented antecedents of turnover, key aspects of retention and methods for regulating turnover, and future research directions. Ideal for both academics and advanced students of industrial/organizational psychology, Employee Retention and Turnover is essential for understanding the past, present, and future of turnover and related research.
  employee retention data analysis: Statistics in Plain English Timothy C. Urdan, 2005 This book is meant to be a supplement to a more detailed statistics textbook, such as that recommended for a statistics course in the social sciences. Also, as a reference book to refresh your memory about statistical concepts.
  employee retention data analysis: HR Analytics Manish Soni, 2024-11-14 The book then guides you through various analytical techniques, starting with Descriptive Analytics in HR, where you learn to perform basic statistical analysis and data interpretation. Performance Metrics provides insights into structuring and applying performance metrics effectively, while Compensation and HR Analytics delves into creating comprehensive compensation frameworks and policies. For those interested in more advanced topics, chapters like Diagnostic Analytics in HR, Predictive Analytics in HR, and Prescriptive Analytics in HR cover everything from regression analysis to predictive modelling and strategic planning using Excel. We also explore Advanced Excel Functions for HR Analytics for more seasoned Excel users, aiming to automate and enhance their data analysis. The book does not stop at analytics within Excel; Integrating Excel with Other HR Systems provides valuable insights into how Excel can interact with various HRIS and other tools, emphasizing the importance of integration in modern HR practices.
  employee retention data analysis: Employer Branding and its Impact on Employee Retention in Automobile Service Provider Ms. Ritika Gupta Dr. Saroj Kumar Sahoo,
  employee retention data analysis: A STUDY ON EMPLOYEE RETENTION PRACTICES IN THE ‘IT’ SECTOR Dr. Ch. Munendar Reddy,
  employee retention data analysis: 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.
  employee retention data analysis: 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.
  employee retention data analysis: 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.
  employee retention data analysis: 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.
  employee retention data analysis: How to Measure Human Resources Management Jac Fitz-enz, 1995 This updated edition should help human resources managers respond to organizational change and justify their own existence. It provides a quantifiable method for accurately measuring the productivity of all major personnel functions. By focusing on such practices as benchmarking and HR information systems, the text offers HR managers both the knowledge and the guidance to demonstrate that their function is being efficiently managed and is contributing to the productivity and effectiveness of the organization.
  employee retention data analysis: Reinventing Jobs Ravin Jesuthasan, John Boudreau, 2018-09-18 How to Optimize Human-Machine Work Combinations Your organization has made the decision to adopt automation and artificial intelligence technologies. Now, you face difficult and stubborn questions about how to implement that decision: How, when, and where should we apply automation in our organization? Is it a stark choice between humans versus machines? How do we stay on top of these technological trends as work and automation continue to evolve? Work and human capital experts Ravin Jesuthasan and John Boudreau present leaders with a new set of tools to answer these daunting questions. Transcending the endless debate about humans being replaced by machines, Jesuthasan and Boudreau show how smart leaders instead are optimizing human-automation combinations that are not only more efficient but also generate higher returns on improved performance. Based on groundbreaking primary research, Reinventing Jobs provides an original, structured approach of four distinct steps--deconstruct, optimize, automate, and reconfigure--to help leaders reinvent how work gets bundled into jobs and create optimal human-machine combinations. Jesuthasan and Boudreau show leaders how to continuously reexamine what a job really is, and they provide the tools for identifying the pivotal performance value of tasks within jobs and how these tasks should be reconstructed into new, more optimal combinations. With numerous examples and practical advice for applying the four-step process, Reinventing Jobs gives leaders a more precise, planful, and actionable way to decide how, when, and where to apply and optimize work automation.
  employee retention data analysis: Rethinking Retention in Good Times and Bad Richard P. Finnegan, 2011-01-11 Keep the workers you want - in good times and bad. How do organizations keep the workers they want? Until now, employee retention strategies have been based on instincts rather than research. With no firm body of knowledge to use as a guide, employee turnover has been a problem for all organizations. Rethinking Retention in Good Times and Bad is the first book to offer a top-to-bottom, organization-wide retention action plan. Many organizations lose employees and profits because they don't know which processes to put into place to cut employee turnover. They speak of building retention cultures but don't know who should do what and when. This hands-on tactical guide gives those answers, providing specific strategies and tactics backed by the author's own research and on-site experience. Rethinking Retention in Good Times and Bad is essential reading for all types of organizations-large or small, public or private, with high concentrations of low-skilled or high-skilled workers and across multiple industries. If you are losing workers you want to keep - in good economic times and bad - this book will tell you how to put retention solutions in place across your company.
  employee retention data analysis: 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.
  employee retention data analysis: Global Talent Retention David G. Allen, James M. Vardaman, 2021-09-30 Through extensive research Global Talent Retention: Understanding Employee Turnover Around the World addresses the need for turnover theory and research to give more careful consideration to global and cross-cultural perspectives on employee retention, and includes contributions from a global range of scholars.
  employee retention data analysis: People, Process, and Profit: A Strategic HR Approach Dr. Barnana Bhattacharya Nandy, Dr. Rinki Mishra, Dr. Gautami Chattopadhyay, 2024-11-06 People, Process, and Profit: A Strategic HR Approach" is a comprehensive textbook that explores the critical role of Human Resource Management in driving organizational success. It highlights the interconnectedness of people, processes, and profit, offering insights into how strategic HR practices can enhance employee performance, optimize business processes, and contribute to profitability. The book delves into key HR functions such as talent management, employee engagement, leadership development, and organizational culture, providing readers with practical frameworks and tools to align HR strategies with business goals. It serves as a valuable resource for students, HR professionals, and business leaders.
  employee retention data analysis: Accounting Information Systems Arline A. Savage, Danielle Brannock, Alicja Foksinska, 2024-01-08
  employee retention data analysis: Convergence of Business and Technology Dr. S. Usha, This book dives deep into the crucial intersection of business and technology, two forces shaping our world. It's a practical guide for executives, business owners, and anyone who wants to understand how technology is transforming industries and corporate strategies. With this book you can discover the real impact of technology, business-technology convergence, adapting to change, practical insights and unveil the intricacies. Don't be left behind. The Convergence of Business and Technology equips you with the knowledge and tools you need to thrive in this rapidly evolving digital age.
  employee retention data analysis: Strategy and Superior Performance of Micro and Small Businesses in Volatile Economies Carvalho, João Conrado de Amorim, Sabino, Emmanuel M.C.B., 2019-02-08 Companies operating in countries with volatile economies face an environment subject to turbulence. It is important to understand how these companies can overcome adversity, establish competitive advantage, and achieve superior performance. The selection of competitive drivers can help to improve the ability to capture, process, and manage information that can generate knowledge and innovation in products and processes, as well as increase strategic capacity and organizational performance. Strategy and Superior Performance of Micro and Small Businesses in Volatile Economies focuses on the ways that organizations capture information and disseminate it in their work teams, transforming this knowledge into innovative products and services that establish competitive advantage. It will improve the understanding of the role of strategy, innovation, entrepreneurship, and the effort to reduce poverty levels in societies with volatile economies and which are subject to serious social disparities. Highlighting topics such as economic development, market performance, and network economy, this publication is designed for managers, entrepreneurs, business professionals, academicians, researchers, and students.
  employee retention data analysis: Employee Retention and Turnover Peter W. Hom, David G. Allen, Rodger W. Griffeth, 2019-08-28 This exploration of what employee turnover is, why it happens, and what it means for companies and employees draws together contemporary and classic theories and research to present a well-rounded perspective on employee retention and turnover. The book uses models such as job embeddedness theory, proximal withdrawal states, and context-emergent turnover theory, as well as highlights cultural differences affecting global differences in turnover. Employee Retention and Turnover contextualises the issue of turnover, its causes and its consequences, before discussing underrepresented antecedents of turnover, key aspects of retention and methods for regulating turnover, and future research directions. Ideal for both academics and advanced students of industrial/organizational psychology, Employee Retention and Turnover is essential for understanding the past, present, and future of turnover and related research.
  employee retention data analysis: The SAGE Handbook of Industrial, Work & Organizational Psychology, 3v Deniz S Ones, Neil Anderson, Chockalingam Viswesvaran, Handan Kepir Sinangil, 2017-12-14 The second edition of this best-selling Handbook presents a fully updated and expanded overview of research, providing the latest perspectives on the analysis of theories, techniques, and methods used by industrial, work, and organizational psychologists. Building on the strengths of the first edition, key additions to this edition include in-depth historical chapter overviews of professional contexts across the globe, along with new chapters on strategic human resource management; corporate social responsibility; diversity, stress, emotions and mindfulness in the workplace; environmental sustainability at work; aging workforces, among many others. Providing a truly global approach and authoritative overview, this three-volume Handbook is an indispensable resource and essential reading for professionals, researchers and students in the field. Volume One: Personnel Psychology and Employee Performance Volume Two: Organizational Psychology Volume Three: Managerial Psychology and Organizational Approaches
  employee retention data analysis: Factors Affecting Employee's Retention in Automobile Service Workshops of Assam An Empirical Study. Dr. Ashad ullah Qureshi, 2022-06-01 An organization’s ability to attract and retain talent is an essential component of talent sustainability. When organizations experience employee turnover, organizational knowledge is lost (Cotton & Tuttle, 1986; Lowe & Barnes, 2002). Employee retention affects an organization’s overall performance. In the coming years, organizations including the federal government will experience an increase in attrition due in part to retirements. Annually, organizations spend billions of dollars replacing the talented employees who have left their employ (Mathis, 2006a). In addition, organizations will need to replace employees that are eligible to retire. Baby boomers are defined as people born between 1945 and the early 1960’s (Business Dictionary, 2013). The retirement of baby boomers will decrease the supply of talent in the next five years. As the need for talent increases, the acquisition of talent becomes more competitive as organization pull from the same pool of candidates.
  employee retention data analysis: Competing on Analytics Thomas H. Davenport, Jeanne G. Harris, 2007-03-06 You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool. In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics.
  employee retention data analysis: International Dimensions of Sustainable Management René Schmidpeter, Nicholas Capaldi, Samuel O. Idowu, Anika Stürenberg Herrera, 2019-05-21 This book provides a rich collection of essays discussing and showcasing the transformation of businesses around the world towards sustainability and responsibility. Based on a framework of global theoretical approaches, it presents practical examples and cases from a variety of industries, regions and corporate functions. It also highlights the latest insights on how corporations consider sustainability in the governance of their respective organization. Furthermore, the book features a section dedicated to responsible finance, and outlines business and management-driven approaches that contradict the traditionally held belief that a trade-off exists between sustainability, social responsibility and profit.
  employee retention data analysis: Making People Count : How to Measure ROI on Human Capital Ramesh Ranjan, 2023-11-26 Making People Count: How to Measure the ROI on Human Capital by Ramesh Ranjan is a comprehensive guide that explores the world of HR analytics and its significance in modern business. The book emphasizes leveraging data-driven insights to optimize human capital and achieve higher returns on investment (ROI).
  employee retention data analysis: EmployER Engagement Thomas Mahan, Nelms, 2020-11-17 The signs of discontent are all there, yet they are ignored. Workplaces are suffering from unnecessary turnover, unfilled positions, lost customers, overworked staff, and compromised profit. Taking the guesswork out of engagement and retention, EmployER Engagement is the fresh and dissenting voice on the employment relationship. You’ve heard it too many times: “I’ve got to update my résumé.” “I can’t work for that jerk anymore.” “I’m sick of having that carrot dangling in my face.” “This is a dead-end job; I’m out.” It happens every day. The signs of discontent are all there, yet they are ignored. Workplaces are suffering from unnecessary turnover, unfilled positions, lost customers, overworked staff, and compromised profit. Employee morale is flat, clever but empty perks continue to fail, and everyone knows that employee engagement scores are a joke. Poaching is the new best practice, and employees are bailing. Like it or not, employees have control in this high-stakes, employee-in-control market. And this employee market will continue for some time. It’s simple demographic science. US workers will hold the hammer for years to come. Here’s the deal, employer: There are plenty of people to do all the work that needs to be done; they’re just working somewhere else. Employees don’t need you; you need them. So how can you recruit the best employees and keep them working for you? The answer is clear: companies CAN and MUST become better employers. Taking the guesswork out of engagement and retention, EmployER Engagement is the fresh and dissenting voice on the employment relationship.
  employee retention data analysis: PHR, PHRi and SPHR, SPHRi Human Resources Certification Complete Study Guide Sandra M. Reed, 2024-11-13 Prepare for the updated 2024 PHR, PHRi and SPHR, SPHRi certification exams smarter and faster with this Sybex Study Guide The newly revised sixth edition of the PHR, PHRi and SPHR, SPHRi Human Resources Certification Complete Study Guide: 2024 Exams is the ideal resource for HR professionals seeking to validate their skills and knowledge acquired through years of practical experience or for a relative newcomer to the HR field looking to strengthen their resume. The new edition of the bestselling PHR and SPHR Study Guide reflects the recently updated A Guide to the Human Resource Body of Knowledge—HRBoK—and is written to help you prepare for these challenging exams. The Study Guide walks you through the seven key functional areas of the PHR/PHRi and five key functional areas of the SPHR/SPHRi that are covered in the exams, including business management and strategy, leadership, workforce planning, talent acquisition and talent management, learning and development, total rewards, employee engagement, employee and labor relations, and the most recently added, HR information management. You'll also find: Up-to-date and incisive guidance on topics you'll use every day in your existing or next HR role Updates reflecting the latest additions to both the US and International versions of the exams, including the incorporation of DE&I concepts and cybersecurity needs Complimentary access to Sybex's outstanding online learning environment and test bank, including hundreds of practice test questions, electronic flashcards, and a glossary of key terms Perfect for aspiring and established human resources professionals preparing for the 2024 PHR, PHRi and SPHR, SPHRi certification exams, this Study Guide is also an essential volume for practicing HR professionals seeking to brush up on key, on-the-job skills they'll use each day.
  employee retention data analysis: Occupational Stress: Breakthroughs in Research and Practice Management Association, Information Resources, 2019-11-01 There are many different types and causes of trauma and stress in the workplace that can impact employee behavior and performance. Corporations have a social responsibility to assist in the overall wellbeing of their employees by ensuring that their leaders are emotionally intelligent and that their organization is compliant with moral business standards. Occupational Stress: Breakthroughs in Research and Practice examines the psychological, physical, and physiological effects of a negative work environment. It also explores how to cope with work-related stress. Highlighting a range of topics such as job satisfaction, work overload, and work-life balance, this publication is an ideal reference source for managers, professionals, researchers, academicians, and graduate-level students in a variety of fields.
  employee retention data analysis: Strategic Staffing Jean Phillips, 2022-02-15 Formerly published by Chicago Business Press, now published by Sage Strategic Staffing equips both current and future managers with the knowledge and skills to adopt a strategic and contemporary approach to talent identification, attraction, selection, deployment, and retention. Grounded in research, this text covers modern staffing concepts and practices in an engaging and reader-friendly format. Author Jean Phillips expertly guides students in developing a staffing strategy that aligns with business objectives, accurately forecasting talent needs, conducting thorough job or competency analysis, and strategically sourcing potential recruits. The Fifth Edition includes the effects of the COVID-19 pandemic on staffing needs worldwide, new coverage of staffing-related technologies, and updated examples throughout, providing students with the latest and most relevant knowledge in the field. Included with this title: 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.
  employee retention data analysis: Applying Data Science Gerhard Svolba, 2017-03-29 See how data science can answer the questions your business faces! Applying Data Science: Business Case Studies Using SAS, by Gerhard Svolba, shows you the benefits of analytics, how to gain more insight into your data, and how to make better decisions. In eight entertaining and real-world case studies, Svolba combines data science and advanced analytics with business questions, illustrating them with data and SAS code. The case studies range from a variety of fields, including performing headcount survival analysis for employee retention, forecasting the demand for new projects, using Monte Carlo simulation to understand outcome distribution, among other topics. The data science methods covered include Kaplan-Meier estimates, Cox Proportional Hazard Regression, ARIMA models, Poisson regression, imputation of missing values, variable clustering, and much more! Written for business analysts, statisticians, data miners, data scientists, and SAS programmers, Applying Data Science bridges the gap between high-level, business-focused books that skimp on the details and technical books that only show SAS code with no business context.
Employee Express
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Checkbook FEHB Plan Comparison Tool for Participating Agencies-Please log into Employee Express first and select the link for Checkbook in Related Links at the bottom of the page.

OPM Vulnerability Disclosure Policy - Employee Express
Introduction As part of a U.S. government agency, the Office of Personnel Management (OPM) takes seriously our responsibility to protect the public's information, including financial and …

Employee Express
Employee Express puts federal employees in control of their payroll and personnel information.

- Employee Express
Your Employee Express account has been locked. Please submit a helpdesk request by clicking the help icon located In the top right hand corner on the Employee Express website at …

About Employee Express
Employee Express is an innovative automated system that empowers Federal employees to initiate the processing of their discretionary personnel-payroll transactions electronically.

Register Your Account - Employee Express
Employee Express will need some identifying information from you to establish your account. If the information you enter does not match what is on file, you will have to contact your servicing …

Security Code - Employee Express
In order to access your Employee Express account, please go to https://www.employeeexpress.gov/ and select your sign in method. After you enter your …

Agency List - Employee Express
Committee For Purchase From People who are Blind or Severely Disabled

Contact Us - Employee Express
Online Help information is always available when using Employee Express. You may submit a helpdesk ticket for additional assistance by clicking this link Submit Help Request.

EEX Administration - Employee Express
This is a secure encrypted communication with the Employee Express Help Desk These are the required fields to authenticate an employee’s identity. You will be contacted after your …

Related Links - Employee Express
Checkbook FEHB Plan Comparison Tool for Participating Agencies-Please log into Employee Express first and select the link for Checkbook in Related Links at the bottom of the page.

OPM Vulnerability Disclosure Policy - Employee Express
Introduction As part of a U.S. government agency, the Office of Personnel Management (OPM) takes seriously our responsibility to protect the public's information, including financial and …