Hr Analytics Data Driven Techniques
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HR Analytics: Data Driven Techniques
In the ever-evolving world of human resources, the emergence of HR analytics has revolutionized the way we understand and manage our workforce. "HR Analytics: Data-Driven Techniques" is a comprehensive guide designed to navigate you through the complexities of HR analytics, leveraging the power of Microsoft Excel. This book begins with a deep dive into the "Factors to Measure in HR Analytics", where we explore the fundamental aspects of HR analytics, including key factors, objectives, and the influence of human biases like naivety, entomologist, confirmation, projection, and stereotyping biases. Our journey then transitions into the basics with "Analytics — Introduction", providing a foundational understanding of analytics, including how to define, collect, organize, and visualize data using Excel's diverse charting capabilities such as pie charts, column charts, and the latest additions like histograms and treemaps. "Hiring Analytics and Challenges" addresses the practical application of analytics in hiring processes, discussing benchmarking, competency-based recruitment, and the critical role of interviewer bias. This section is essential for anyone looking to refine their hiring practices using data-driven strategies. "Introduction to HR Analytics" sets the stage for the rest of the book, outlining the definition, scope, and importance of HR analytics in modern business. As we delve into the "Fundamentals of Microsoft Excel for HR Analytics", readers will gain practical skills in utilizing Excel for data management and analysis – a critical tool in any HR professional's arsenal. 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. A highlight of this book is the "Case Study - Hiring Through Numbers — Using Hands-On Excel", offering a practical, step-by-step approach to applying HR analytics in real-world scenarios. This is complemented by "Case Studies and Real-World Applications", where we explore industry-specific examples across healthcare, technology, retail, and manufacturing sectors. "HR Analytics: Data-Driven Techniques" is not just a book; it's a journey into the heart of HR analytics. Whether you're an HR professional seeking to enhance your analytical skills, a student aspiring to enter the HR field, or a business leader looking to implement data-driven HR practices, this book is your comprehensive guide to mastering HR analytics with Microsoft Excel.
Frontiers of Human Centricity in the Artificial Intelligence-Driven Society 5.0
According to Serpa (in MDPI encyclopedia) [3], Society 5.0 can be realized as a concept and a guide for social development, with a profound impact on current societal structures in multiple levels. Society 5.0 achieves advanced convergence between cyberspace and physical space, enabling AI-based on big data and robots to perform or support as an agent the work and adjustments that humans have done up to now. Deguchi et al., [4] define Society 5.0 as a highly intelligent society based on generation, processing, exchange of data, and more specifically knowledge, through the connection of the physical environment with the cyberspace. Achieving Society 5.0 with these attributes would enable the world to realize economic development while solving key social problems. It would additionally contribute to achieving the SDGs established by the United Nations. Despite the differences in formulation of the names of these periods and societies, it is obvious that each of them became a basis for step like growth in developed society; at, specific time periods, scale, character and depth of these changes are different in different countries. Consequently, to address the aims of the book, it seeks exploratory, empirical, interpretive, and theoretical research built on either primary or secondary data. The approaches suggested are not exhaustive and can be extended upon by the researchers. In addition, the book will contribute towards the UN’s sustainable development goals. In support of UN’s efforts towards a more digital economy, this book aims to debate and discuss the history, genesis, future, opportunities, and challenges of transitioning to Society 5.0. and provides a holistic perspective on a variety of topics special topics which contribute towards the optimal attainment of the SDGs, particularly in terms of socialdimensions. Finally, this book provides a platform for researchers, academics, and professionals to the transition and technological enablers of industrial revolutions through empirical or exploratory studies that use a variety of innovative approaches. The target audience of the book includes researchers and scholars who will find in its comprehensive knowledge about industry 4, industry 5, society 5 and its contribution to economic growth and sustainable development goals (SDGs). Furthermore, the book’s secondary target audience are teachers, managers, strategists, professionals, governments, and policymakers.
HUMAN RESOURCE ANALYTICS
Human Resource Analytics represents a transformative shift in how organizations approach their most valuable asset: their people. In an era where data-driven decision-making has become a cornerstone of strategic management, HR analytics emerges as a critical discipline that empowers organizations to leverage data and insights to enhance their human capital strategies. This book, "Human Resource Analytics," is designed to guide HR professionals, managers, and organizational leaders through the evolving landscape of HR analytics and its profound impact on organizational success. As the business environment becomes increasingly complex and competitive, the ability to harness and interpret data has become essential for achieving strategic goals and driving growth. Traditional HR practices, while foundational, often lack the precision and insight needed to address the dynamic needs of modern organizations. HR analytics offers a solution by transforming raw data into actionable insights that inform decision-making, optimize workforce management, and align HR practices with overall business objectives. This book aims to demystify the principles and applications of HR analytics, providing readers with a comprehensive understanding of how to leverage data to make informed decisions and drive positive outcomes. Throughout this book, we will explore the fundamental concepts of HR analytics, including the collection, analysis, and interpretation of data related to employee performance, compensation, benefits, and engagement. We will delve into various analytical techniques and tools that enable organizations to uncover trends, predict future workforce needs, and measure the effectiveness of HR initiatives. Case studies and real-world examples will illustrate how leading organizations have successfully implemented HR analytics to enhance their strategies and achieve measurable results. The journey begins with an introduction to the core principles of HR analytics, followed by a detailed exploration of key areas such as compensation and benefits analytics, employee engagement and retention, performance management, and learning and development analytics. Each chapter will provide practical insights and actionable strategies that can be applied within your organization to leverage data for improved decision-making and performance. In writing this book, our goal is not only to provide a theoretical foundation but also to offer practical guidance and best practices for implementing HR analytics in real-world settings. Whether you are new to the field of HR analytics or looking to deepen your expertise, this book will serve as a valuable resource for understanding and applying data-driven approaches to HR management. As we navigate the complexities of human resource management in the datadriven age, it is essential to recognize the role of analytics in shaping the future of work. By embracing HR analytics, organizations can unlock new opportunities, drive innovation, and achieve greater success. We hope that this book will inspire and equip you to harness the power of analytics and contribute to the advancement of HR practices in your organization. -Dr Abhishek Sharma -Ms Teena Chaudhary