HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)

This is a terrific book (if you're into this kind of stuff). Thomas Davenport, the presumptive editor of this, is a master at this area. He's written extensively and provocatively about business analytics, and true to form, this book is very approachable for novices and experts alike. I instruct graduate-level students in business analytics and use this book as a my textbook. If you're a manager interested in making data analytics part of your repertoire of knowledge and experience, read this.

Must read

Standard HBR. Nothing fancy, guide for manager to cope with AI era.

This book was recommended by my professor of market analytics. I read different chapters from here as I ventured into analyzing data using statistical tools, making sense of the past, and making predictions for the future to make better business decisions. It also shows how presenting the results easy enough for a layman to understand is important. The book is very helpful in laying foundations in data analytics. It is explained in easy to understand (non-math :)) language with examples that I could follow with ease. This book will certainly help anyone who is a beginner at data analytics.

Good Book but dry subject

This is a great analytics primer. The book tackles data analysis from a variety of perspectives. I recommend it for managers who cringe whenever they see numbers plastered on a PowerPoint or who instantly go into Charlie-Brown’s-teacher mode (whomp whomp whomp) whenever an analyst explains the nuances of a report. This book will equip you with enough information to be dangerous whenever you converse with Quants.

This is a good introduction for a topic that is on every business leaders lips Kelevilin Kimathi risk manager Kenya

good