The Data Driven Leader: A Powerful Approach to Delivering Measurable Business Impact Through People Analytics

by Jenny Dearborn, Jenny Dearborn

Data is your most valuable leadership asset—here's how to use it

The Data Driven Leader presents a clear, accessible guide to solving important leadership challenges through human resources-focused and other data analytics. This engaging book shows you how to transform the HR function and overall organizational effectiveness by using data to make decisions grounded in facts vs. opinions, identify root causes behind your company’s thorniest problems and move toward a winning, future-focused business strategy. Realistic and actionable, this book tells the story of a successful sales executive who, after leading an analytics-driven turnaround (in Data Driven, this book’s predecessor), faces a new turnaround challenge as chief human resources officer. Each chapter features insightful commentary and practical notes on the points the story raises, guiding you to put HR analytics into action in your organization. 

HR and other leaders cannot afford to overlook the power and competitive advantages of data-driven decision-making and strategies. This book reflects the growing trend of CEOs choosing analytics-minded business leaders to head HR, at a time when workplaces everywhere face game-changing forces including automation, robotics and artificial intelligence. It is urgent that human resources leaders embrace analytics, not only to remain professionally relevant but also to help their organizations successfully navigate this digital transformation. HR professionals can and

Understand essential data science principles and corporate analytics models Identify and execute effective data analytics initiatives Boost HR and company productivity and performance with metrics that matter Shape an analytics-centric culture that generates data driven leaders Most organizations capture and report data, but data is useless without analysis that leads to action. The Data Driven Leader shows you how to use this tremendous asset to lead your organization higher.

Genres: Business, Leadership, Nonfiction

212 pages, Kindle Edition

Published September 29, 2017

Reviews

[Jay French · Rating 4 out of 5]

This takes the basic “Intro to Analytics” sales pitch and wraps a simple but well written story around the concepts. The author catches the events large and small in descriptions of meetings. I could almost smell the erasable marker as she described in detail brainstorming sessions used to determine data availability and need. It was like being in such a meeting, without the boredom that often accompanies multi-hour multi-day meetings. Also described as part of the story was dealing with office politics at a high level. If you would like an easy to read introduction to analytics as used to measure performance wrapped in a business story, this covers those bases. If you are already familiar with the basic definitions, such as prescriptive analytics, you probably won’t get much out of this except for an example of how an analytics project works from the perspective of a high level manager, and some fictional examples of dealing with unfriendly senior executives. Slight, unsurprising spoiler – the heroine of our story is justly rewarded at the end for bringing a needed analysis of her new company using data analytics. I just love happy endings.

[Batdorj Js · Rating 5 out of 5]

Fun to read book with many things to learn. Even though it doesn't straight out suggest a solution to our current problem of using traditional KPIs, it makes a very good point of how we should tackle our problems in this era.

[Andrew · Rating 4 out of 5]

This is a great, accessible, entry-level book about incorporating big data into your business. The focus is on human resources but it's easy to translate that into your organization if you aren't in HR.

[Tabby Wendorff · Rating 3 out of 5]

Just the basics

[Aaron Breitbarth · Rating 4 out of 5]

Good summary case for the use of Data Science is Human Resources.

[Sandeep Sampang · Rating 2 out of 5]

Ok book with no good original content behind it. Took me two chapters to read before realizing only the Summary and Commentary at the end of each chapter are worth reading.

[Angelbar · Rating 2 out of 5]

Is a good book but its lacks of audiobook structured Chapters demerits its work as a author.

[Alex Rotenberg · Rating 4 out of 5]

Great insights in how to transform towards a data-driven cukture.

[majapls · Rating 4 out of 5]

Great book as an intro to data-driven decisions. Coming from an HR background it was a great introduction to how to be less subjective in certain areas of a company and focus on creating metrics for as much as possible.

[Matthew Mechtly · Rating 2 out of 5]

In summary, this is a non-technical summary of data science use cases within HR. Minus one star for a lack of any technical meat and minus another star for some of the eye-rolling scenarios.