"HR Analytics Essentials You Always Wanted To Know" is an insightful and practical book that provides a comprehensive overview of HR analytics. Written by Dr. Archna Kumar, an experienced HR professional and data analytics expert, the book is an excellent resource for anyone interested in leveraging data to improve their HR functions.

The book covers a wide range of topics, including data visualization, predictive modeling, employee engagement, and talent management. The author presents complex concepts in a simple and easy-to-understand manner, making it accessible to readers of all levels. The author also provides numerous real-world examples and case studies that illustrate how these concepts can be applied in various HR settings.

One of the book's standout features is its practical approach. The author not only explains the concepts but also provides practical tips and strategies for applying them in real-world situations. This makes it an excellent resource for HR professionals, data analysts, and anyone interested in improving their HR analytics skills.

The book is also well-organized and structured, making it easy to navigate and find the information you need. The author's writing style is clear and engaging, making it a pleasure to read.

Overall, "HR Analytics Essentials You Always Wanted To Know" is an outstanding book that provides a comprehensive overview of the essential concepts of HR analytics. I highly recommend it to anyone looking to improve their understanding of this critical field. The book provides a valuable roadmap to leverage data-driven insights and decision-making to optimize HR functions. ( )

This review should have been a part of early reviewers. Unfortunately the publisher would not provide a copy of the book that was not web-based. This online-only and clunky pdf format made it difficult to access and disengaging as reader. There could be good stuff here, but too many barriers are in place to truly know.

Publisher ‏ : ‎ Vibrant Publishers; First edition (April 7, 2021)
Language ‏ : ‎ English
Paperback ‏ : ‎ 218 pages
ISBN-10 ‏ : ‎ 1636510345
ISBN-13 ‏ : ‎ 978-1636510347
Item Weight ‏ : ‎ 9.3 ounces
Dimensions ‏ : ‎ 5.5 x 0.5 x 8.5 inches

Walsh’s “HR Analytics Essentials” illustrates the importance of strong HR practices as a driver of successful business. A seemingly simple question, “How do we recruit quality employees?”, quickly unfolds into a series of examinations into sourcing practices, salary and incentive benchmarking, investing in training, retention and turnover, and other nuanced challenges in managing a workforce.
This text is a great foundation into the HR Analytics space and would be immediately relevant for someone interested in people analytics or applied analytics. Anyone with influence in hiring decisions – HR or otherwise – would also find value here.

Additional Content:
I found the case studies and discussion questions thoughtful. The excel exercises were relevant and outline some good functions/skills to know for this type of work. ( )

Library Thing Early Review copy provided) This is a good survey textbook for introduction of the basics of Human Resources, statistics, and data analytics. The writing is clear and understandable and logically walks through the process of understanding HR concepts and how to use statistics and data analytics to evaluate and support decision making. As a survey of these areas, the coverage is very broad (appropriate for novices in HR and data analytics) and not very deep (but provides a valuable starting point for more specialized learning). I can see that this book would be very appropriate for a college class with a knowledgeable professor. Covers concepts and provides data for application. Online resources include 2 Excel spreadsheets with about 500 rows of data for exercises (I was never able to find the promised online instructional videos in Appendix A - something the publisher website needs to provide to match the book).

NOTE: This book is listed several times in LibraryThing ... by the publisher and by the author as separate listings. ( )