Scott Burk, Gary Miner
June 4, 2020 Forthcoming
Reference - 288 Pages - 20 B/W Illustrations
ISBN 9780367359683 - CAT# 325690
For Instructors Request Inspection Copy
Preface. About the Authors. Chapter 1 You Need This Book. Chapter 2 Building a Successful Program. Chapter 3 Some Fundamentals – Process, Data and Models. Chapter 4 It's All Analytics! Chapter 5 What is Business Intelligence (BI) and Visual BI? Chapter 6 What is Machine Learning and Data Mining? Chapter 7 AI (Artificial Intelligence) and How it Differs from Machine Learning. Chapter 8 What is Data Science? Chapter 9 Big Data and Bigger Data, Little Data, Cloud and Other Data. Chapter 10 Statistics, Causation and Prescriptive Analytics. Chapter 11 Other Disciplines to Dive-in Deeper: Computer Science, Management/Decision Science, Operations Research, Engineering (and more). Chapter 12 Looking Ahead.
"The applications of computational methods in machine learning and artificial intelligence are rapidly changing the world that we work and live in. Many traditional industries and professions are being fundamentally reimagined as AI industries. It is becoming imperative for those at every level in companies and organizations (not to mention the general public) to understand both "what will AI do FOR me?" and "what will AI do TO me?".
The rapid acceleration in the development and deployment of these technologies is creating an increasing gap in understanding. Many who need to know don't even know what they don't know. This, coupled with hyperbolic news releases on some new AI application-of-the-moment, leaves the nontechnical observer with no easy solution to bridging this gap.
Fortunately, Scott Burk and Gary Miner have astutely recognized this gap in understanding and offer a starting point for bridging this gap in It's All Analytics! This volume provides a "20,000-foot overview" of these technologies and serves as an easily grasped read for beginning the journey to deeper understanding or broadening one's knowledge base. While it is geared towards those with little or no understanding of AI and machine learning, it is a valuable resource for those working in these areas who may have a siloed view of the fields.
The authors are uniquely qualified to deliver this overview as they are both not only industry practitioners of these technologies, but also educators skilled at making these topics accessible to the neophyte. They have obviously paid great attention to readability and organized the material in a way that provides a memorable framework for pinning the reader's newly gathered knowledge. Additionally, the book is richly referenced with additional resources for taking a deeper dive into specific subject matter.
I'd like to be among the first to congratulate the authors on this timely, engaging, useful, and highly informative read."
John W. Cromwell, M.D., FACS, FASCRS
Associate Chief Medical Officer | Director of Surgical Quality and Safety
University of Iowa Hospitals & Clinics
Director, Division of Gastrointestinal, Minimally Invasive, and Bariatric Surgery
Clinical Associate Professor
University of Iowa Carver College of Medicine
Faculty, Interdisciplinary Graduate Program in Informatics
University of Iowa Graduate College
Iowa City, IA
"The rise of artificial intelligence brings us excitement and hope, but also causes some anxiety and even fear. The internet is flooded with a sea of terminology and concepts. For anyone who is interested in learning more about AI, numerous online courses, articles, blogs are at fingertips. However, not all information has been curated thus resulted in tremendous amount of confusion and a great deal of misunderstanding.
I am thrilled that Scott and Gary compact several decades of history of AI, data science, analytics, an incredible amount of terminology, concepts, and a comprehensive view of the current landscape, all into this one book. With their years of experience across a broad spectrum of industry, the book offers many practical examples and thought exercises, and explains complex concepts in simple language.
Business executives will benefit from this book with in-depth understanding of the technical concept and capability, as well as organizational planning and strategy; people leaders will get help to build a strong team with the right talents, tooling, and capability; technical professionals will broaden their view of the data science world and have more clear expectation of career path.
I have found this book most comprehensive and practical on the market, and it offers an objective and informed view. What makes it even more valuable is that it is a synthesis book and serves as a reference that can be used for many years to come.
If you have an ambition to sail in the sea of AI, this is the compass that you must carry in your pocket."
Xingchu Liu, Ph.D.
President of BlackLocus
The Home Depot Innovation Lab
"It’s All Analytics!" by Scott Burk and Gary Miner. There is a lot to like about this book. A whole lot.
The first thing I liked was that it was interesting. It doesn’t read like a cold, boring academic treatise. Instead it reads almost like a mystery novel – where one page invites the next. This plain-spoken approach opens the doors of analytics to anyone who is interested.
And that is good. Because in the world to come, analytics is THE key to success and survival.
Explaining analytics to the everyman is not a simple or easy thing to do. For many years analytics has been wrapped up in confusing algorithms, spurious terms, and specious formulae. Yesterday you had to have a phd in order to gain a foothold into the wondrous realm of analytics. But in tomorrow’s world analytics are going to become so pervasive that analytics will become as common as soda pop or ice cream.
In order to be able to swim with the sharks of tomorrow you have to have the basics of analytics.
And the book It’s All Analytics! explains concepts and practices in easy to understand terms.
This book is for anyone who wishes to be conversant in the language of tomorrow."
Bill Inmon, Denver, Colorado
"Burk and Miner have created a map to guide anxious and overwhelmed executives to the rapidly changing and often unwieldy landscape of data and analytics techniques and technologies. Their survey cuts through the hype and hyperbole and enables data practitioners and non-practitioners to clearly communicate how to understand, optimize, and ultimately transform their business processes through analytics. Highly recommended."
Former Director of Data Engineering, Slack
"It’s All Analytics! deserves a prominent place on executives’ bookshelves. Burk and Miner have undertaken a noteworthy challenge in their synthesis of data science, machine learning, data mining, artificial intelligence and statistics, presented at a level both useful and provocative to business leaders. The chapter on statistics particularly fills a gap in current discourse about the latest fashions in AI and Machine Learning."
Former Chief Data Scientist, Big Four
"Almost every company in the world now understands the critical importance of collecting, processing, analyzing, and acting upon data. The largest hurdles impeding companies in this process aren't caused by technical limitations or a lack of trained specialists, but by the people who need to understand how it affects them, what can be done, and how to implement and manage it within their organization, but don't. In this book, Burk and Miner help to solve that problem in language that is straightforward, sensible, and based on their considerable experience. If actionable analytics is a key need for your organization, and you want to minimize the struggle and confusion required to implement it, you should read this book."
Former Director of Data Science at Overstock.com