Description from the back cover: "A simple, jargon-free guide for managers and executives who are new to data themselves.
This book will tell you the 20% of your job that solves 80% of the problems you'll encounter as a data team manager. Problems such as: -Missing and/or inaccurate data -Poor or irrelevant reporting and analysis -Constant project delays, revisions, and deadline extensions -Ill-defined goals for data solutions -Ill-defined processes and job responsibilities -Problem stakeholders -A job market that favors data professionals more than employers
Use the lessons in this book to proactively overcome these challenges and deliver real value to your stakeholders."
A simple, straightforward read on managing data teams. Manager or not, it definitely covers a lot of useful content for readers working in the data space. As author Taylor puts it, "this book will tell you the 20% of your job that solves 80% of the problems you'll encounter as a data team manager." The book focuses on the operational excellence you need for success and covers topics such as: How to measure success as a data team manager, Why data quality issues happen, How to proactively fix data quality issues, The importance of requirement gathering (and winning over stakeholders) before diving into your analytics project, Hiring and then subsequently managing, motivating & retaining data workers and more.
This was exactly the book that I needed right now. I’m fact, I probably needed it before it had been written. This jargon-free guide provides excellent language for better discussing topics that I have been pondering for years: - the importance of processes - the importance of data quality - a plan for collecting requirements for reports and analysis - retaining good data practitioners (applies to so many different jobs) - and more! I started recommending it to other people before I finished reading it.