Human Resources Analytics for Business Managers


Human Resources Analytics for Business Managers
by: Kankana Mukhopadhyay (Author)
Publisher: Cambridge Scholars Publishing
Publication Date: 2023/8/4
Language: English
Print Length: 182 pages
ISBN-10: 1527524353
ISBN-13: 9781527524354


Book Description
The book takes a step-by-step approach to unfold the role of human resource analytics in human resource management (HRM) operative functions. The data-driven approach of the book helps the readers to relate human resource (HR) measures, predictions and prescriptions to HR issues such as controlling attrition, reducing HR cost, and improving workforce performance, among others. The outcomes of HR measures are further explored with visualization tools like Tableau and Power BI, revealing hidden patterns and interrelationships among variables. The book also covers the applications of machine learning tools in HR issues with relevant examples to derive critical and valuable insights to support HR strategies. Overall, this book demonstrates the usefulness of HR analytics in business managers’ ability to make data-driven workforce decisions.

About the Author
The book takes a step-by-step approach to unfold the role of human resource analytics in human resource management (HRM) operative functions. The data-driven approach of the book helps the readers to relate human resource (HR) measures, predictions and prescriptions to HR issues such as controlling attrition, reducing HR cost, and improving workforce performance, among others. The outcomes of HR measures are further explored with visualization tools like Tableau and Power BI, revealing hidden patterns and interrelationships among variables. The book also covers the applications of machine learning tools in HR issues with relevant examples to derive critical and valuable insights to support HR strategies. Overall, this book demonstrates the usefulness of HR analytics in business managers’ ability to make data-driven workforce decisions.

1111

未经允许不得转载:电子书百科大全 » Human Resources Analytics for Business Managers

评论 0

评论前必须登录!

登陆 注册