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.
Product Information
Product Information
Shipping & Returns
Shipping & Returns
HR Analytics: Data Driven Techniques
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.
Product Information
Product Information
Shipping & Returns
Shipping & Returns
Description
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.
