Page 1 - The Real Work Of Data Science Turning Data Into Information, Better Decisions, And Stronger Organizations by Ron S. Kenett, Thomas C. Redman (z-lib.org)_Neat

Praise for

The Real Work of Data Science

These two authors are world-class experts on analytics, data management, and data quality;
they’ve forgotten more about these topics than most of us will ever know. Their book is
pragmatic, understandable, and focused on what really counts. If you want to do data science
in any capacity, you need to read it.

Thomas H. Davenport
Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy

I like your book. The Chapters address problems that have faced Statisticians for generations,
updated to reflect today’s issues, such as computational big data.
Sir David Cox
Warden of Nuffield College and Professor of Statistics, Oxford University

I am already in love with your book based on the overview and preface!! What a creative
approach! Speaks a lot to your ability to tell a good story – one of the key ways of reasoning
for a good data scientist!

Hollylynne S. Lee
Professor, Mathematics and Statistics Education and Faculty Fellow, Friday Institute for
Educational Innovation, North Carolina State University

The root causes of business failures typically are management, not technology. In today’s
complex and changing digital world, the advice in The Real Work of Data Science is essential.
Read it and do it.
John A. Zachman
Chairman – Zachman International and Executive Director – FEAC Institute

If you are wondering what the real challenges and solutions to solving your ‘Big Data’ problem
are, this is a must read book. Ron and Tom move past the technology hype and highlight the
real issues and opportunities in leveraging data science to the benefit of your organization

Jeff MacMillan
Chief Analytics and Data Officer, Morgan Stanley Wealth Management