Excellence in People Analytics: How to Use Workforce Data to Create Business Value

by Jonathan Ferrar, David Green

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

384 pages, Paperback

Published July 27, 2021

Reviews

[Kiril · Rating 2 out of 5]

I don't know what to think of this one. As someone who's been working in the field for some years, this book had very little that was new to me and I felt like it never really went deep enough with any of the topics it discussed. The text sounded repetitive and the examples were so broad and so devoid of any practical details that they stirred my curiosity at best and left me rolling my eyes at worst. Furthermore, there was a lot of focus on big analytics teams in organizations with plentiful resources and commitment to the field, so if you're working in a small team in an organization where the function is not taken seriously enough, you will likely not find this book very useful.

Overall, this read more like a collection of blog posts rather than a guide as to "how to use workforce data to create business value". Would I recommend this? Yes, but only to people who have extremely limited knowledge within the field of people analytics and don't know where to start.

[Marlene De · Rating 2 out of 5]

the writing style tends to be dry, making it challenging to stay engaged with the material.

[Carlos Caceres · Rating 3 out of 5]

The book is undoubtedly interesting and offers several relevant takeaways, particularly for readers looking to understand foundational concepts in its field. However, one noticeable drawback is the repetition of certain ideas throughout the chapters, which can make the reading experience feel somewhat redundant.

Moreover, considering the profound impact of COVID-19 and the rapid emergence of AI technologies in recent years, some parts of the book now feel outdated. While the core principles remain useful, it would greatly benefit from an updated edition that reflects these significant changes in the landscape.

Overall, it's a valuable read with meaningful insights, but a revision is necessary to maintain its relevance in today's context.

[Jay Rain · Rating 5 out of 5]

Rating - 10

Superb read on the realm of PA w plenty of corporate examples that bring the models to life; Very in-depth & provides a landscape to see the big picture - written in a way where you want to learn more

Any company would benefit from the proposed Operating Model along with the 9 dimensions identified; The authors also do a great job of connecting the overlaps that exist within each dimension

[Samiul Karim · Rating 1 out of 5]

Good god this was awful, it’s full of case studies and horrible analysis of each one. I was initially disappointed because I wanted this book to be a practitioners guide for someone starting out in the field. It just got worse the more I read it, if anyone with an engineering or technical background picked up this book they’d probably lose whatever little respect they had for this field that’s just starting to see widespread adoption.