Foreword Number One. Foreword Number Two. Foreword Number Three. Preface. Endorsements. 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 Are Business Intelligence (BI) and Visual BI? Chapter 6. What Are 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. Index.
Scott Burk has been solving complex business and health care
problems for twenty-five years through science, statistics, machine
learning and business acumen. Scott started his career, well
actually in analytics, as as an analytic chemist after graduating
with a double major in biology and chemistry from Texas State
University. He continued his education, going to school at night
taking advanced courses in science and math at the University of
Texas at Dallas (UTD). He then started programming at the
toxicology lab where he was working and thus started taking
computer science (CS) and business courses until he graduated with
a Master’s in Business with a concentration in finance soon after
from UTD.
Texas Instruments (TI) hired him as a financial systems analyst in
Semiconductor Group, but due to TI’s needs and Scott’s love of
computers, he soon after became a systems analyst for corporate TI.
He worked there for three years and started itching to get back to
school (even though, he continued to take courses at night
(Operations Research and CS) through TI’s generous educational
program). TI granted him an educational leave of absence and he
went to Baylor University to teach in the business school and get a
PhD in statistics. He joined Baylor as a non-tenure track professor
teaching Quantitative Business Analysis (today = business
analytics).
After graduating, Scott went back to TI as a Decision Support
Manager for the consumer arm of TI (today = consulting data
scientist). Where he engaged in many functional areas – marketing
and sales, finance, engineering, logistics, customer relations the
call center and more. It was a dream job, but unfortunately, TI
exited that business.
Scott joined Scott and White, a large integrated healthcare
delivery system in Texas as a consulting statistician. He moved
into an executive role as Associate Executive Director, Information
Systems leading Data Warehousing, Business Intelligence and Quality
Organizations working with clinics, hospitals and the health plan.
At the same time, he received a faculty appointment and taught
informatics with Texas A&M University. He left, but later came
back to Baylor, Scott and White (BSW) as Chief Statistician for BSW
Healthplan.
Scott continued his education, getting an advanced management
certification from Southern Methodist University (SMU) and Master’s
Degree (MS) in Data Mining (machine learning) from Central
Connecticut State University. Scott is a firm believer in life-long
learning.
He also worked as Chief Statistician at Overstock, re-engineering
the way they tested and evaluated marketing campaigns and other
programs (analytics, statistics). He launched their ‘total customer
value’ program. He was a Lead Pricing Scientist (analytics,
optimization) for a B2B pricing optimization company (Zilliant) for
a number of years. He thoroughly enjoyed working with a rich
diverse, well-educated group that affected the way he looks at
multidisciplinary methods of solving problems.
He was a Risk Manager for eBay/Paypal identifying fraud and other
risks on the platform and payment system. He has been working the
last few years supporting software development, marketing and
sales, specifically data infrastructure, data science and analytics
platforms for Dell and now TIBCO. He supports his desire to learn
and keep current by writing and teaching in the Masters of Data
Science Program at City University of New York.
Dr. Gary Miner received his B.S. from Hamline University, St. Paul,
Minnesota with biology, chemistry and education majors; M.S. in
Zoology & Population Genetics from the University of Wyoming, and
his Ph.D. in Biochemical Genetics from the University of Kansas as
the recipient of a NASA Pre-Doctoral Fellowship. During the
doctoral study years, he also studied mammalian genetics at The
Jackson Laboratory, Bar Harbor, ME, under a College Training
Program on an NIH award; and another College Training Program at
the Bermuda Biological Station, St. George’s West, Bermuda in a
Marine Developmental Embryology Course, on an NSF award; and a
third College Training Program held at the University of
California, San Diego at the Molecular Techniques in Developmental
Biology Institute, again on an NSF award.
Following that he studied as a Post-Doctoral student at the
University of Minnesota in Behavioral Genetics, where, along with
research in schizophrenia and Alzheimer’s Disease, he learned "how
to write books" from assisting in editing two book manuscripts of
his mentor, Irving Gottesman, Ph.D. (Dr. Gottesman returned the
favor 41 years later by writing two tutorials for this PRACTICAL
TEXT MINING book). After academic research and teaching positions,
Dr. Miner did another two-year NIH-Post-Doctoral in Psychiatric
Epidemiology and Biostatistics at the University of Iowa where he
became thoroughly immersed in studying affective disorders and
Alzheimer’s Disease. All together he spend over 30 years
researching and writing papers and books on the genetics of
Alzheimer’s Disease (Miner, G.D., Richter, R, Blass, J.P.,
Valentine, J.L, and Winters-Miner, Linda. FAMILIAL ALZHEIMER’S
DISEASE: Molecular Genetics and Clinical Perspectives. Dekker: NYC,
1989; and Miner, G.D., Winters-Miner, Linda, Blass, J.P., Richter,
R, and Valentine, J.L. CARING FOR ALZHEIMER’S PATIENTS: A Guide for
Family & Healthcare Providers. Plenum Press Insight Books: NYC.
1989).
Over the years he held positions, including professor and chairman
of a department, at various universities including The University
of Kansas, The University of Minnesota, Northwest Nazarene
University, Eastern Nazarene University, Southern Nazarene
University, Oral Roberts University Medical School where he was
Associate Professor of Pharmacology and Director of the Alzheimer
Disease & Geriatric Disorders Research Laboratories, and even for a
period of time in the 1990’s was a visiting Clinical Professor of
Psychology for Geriatrics at the Fuller Graduate School of
Psychology & Fuller Theological Seminary in Pasadena, CA.
In 1985 he and his wife, Dr. Linda Winters-Miner [author of several
tutorials in this book] founded The Familial Alzheimer’s Disease
Research Foundation [aka "The Alzheimer’s Foundation] which became
a leading force in organizing both local and international
scientific meetings and thus bringing together all the leaders in
the field of genetics of AD from several countries, which then lead
to the writing of the first scientific book on the genetics of
Alzheimer’s Disease; this book included papers by over 100
scientists coming out of the First International Symposium on the
Genetics of Alzheimer’s Disease held in Tulsa, OK in October, 1987.
During part of this time he was also an Affiliate Research
Scientist with the Oklahoma Medical Research Foundation located in
Oklahoma City with the University of Oklahoma School of
Medicine.
Dr. Miner was influential in bringing all of the world’s leading
scientists working on Genetics of AD together at just the right
time when various laboratories from Harvard to Duke University and
University of California-San Diego, to the University of
Heidelberg, in Germany, and universities in Belgium, France,
England and Perth, Australia were beginning to find "genes" which
they thought were related to Alzheimer’s Disease.
During the 1990’s Dr. Miner was appointed to the Oklahoma
Governor’s Task Force on Alzheimer’s Disease, and also Associate
Editor for Alzheimer’s Disease for THE JOURNAL OF GERIATRIC
PSYCHIATRY & NEUROLOGY, which he still serves on to this day. By
1995 most of these dominantly inherited genes for AD had been
discovered, and the one that Dr. Miner had been working on since
the mid-1980’s with the University of Washington in Seattle was the
last of these initial 5 to be identified, this gene on Chromosome 1
of the human genome. At that time, having met the goal of finding
out some of the genetics of AD, Dr. Miner decided to do something
different, to find an area of the business world, and since he had
been analyzing data for over 30 years, working for StatSoft, Inc.
as a Senior Statistician and Data Mining Consultant seemed a
perfect "semi-retirement" career. Interestingly (as his wife had
predicted), he discovered that the "business world" was much more
fun than the "academic world", and at a KDD-Data Mining meeting in
1999 in San Francisco, he decided that he would specialize in "data
mining". Incidentally, he first met Bob Nisbet there who told him,
"You just have to meet this bright young rising star John Elder!",
and within minutes Bob found John introduced me to him, as he was
also at this meeting.
As Gary delved into this new "data mining" field, and looked at
statistics text books in general, he saw the need for ‘practical
statistical books’ and started writing chapters, and organizing
various outlines for different books. Gary, Bob, and John kept
running into each other at KDD meetings, and eventually at a
breakfast meeting in Seattle in August of 2005 decided they needed
to write a book on data mining, and right there re-organized Gary’s
outline which eventually became the book Handbook of Statistical
Analysis and Data Mining Applications, 2009, published by Elsevier.
And then, in 2012, he was the lead author on a 2nd book from
Elsevier/Academic Press, PRACTICAL TEXT MINING. And then a 3rd in
this "series" in 2015: PRACTICAL PREDICTIVE ANALYTICS and
DECISIONING SYSTEMS FOR MEDICINE. All thanks to Dr. Irving
Gottesman, Gary’s "mentor in book writing", who planted the seed
back in 1970 while Gary was doing a post-doctoral with him at the
University of Minnesota.
His latest book was released in 2018, the 2nd Edition of the 2009
book HANDBOOK OF STATISTICAL ANALYSIS and DATA MINING APPLICATIONS
(https://www.amazon.com/Handbook-Statistical-Analysis-Mining-Applications/dp/0124166326/);
and a 2019 book written more for the layperson and decision maker,
titled: HEALTHCARE’S OUT SICK – PREDIDCTING A CURE – SOLUTIONS THAT
WORK!!! Published by Routledge / Taylor and Francis Group – "A
Productivity Press Book"
(https://www.amazon.com/HEALTHCAREs-OUT-SICK-PREDICTING-INNOVATIONS/dp/1138581097).
Dr. Miner is currently working on a 2nd and 3rd book in a series
with Scott Burk, Ph.D., and also teaches courses periodically in
"Predictive Analytics and Healthcare Analytics" for the University
of California-Irvine.
"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."Josh Wills, 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."Loren Williams, 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."Dylan Zwick, Former Director of Data Science at
Overstock.com"….The rise of artificial intelligence brings us
excitement and hope, but also causes some anxiety and even fear…….
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…… which I find the most
comprehensive and practical on the market …..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
BlackLocusThe Home Depot Innovation Lab"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……..in tomorrow’s world analytics are going to become so
pervasive that it will become as common as soda pop and ice
cream……..In order to be able to swim with the sharks of tomorrow
you have to have the basics of analytics……..This book is for anyone
who wishes to be conversant in the language of tomorrow!"Bill
Inmon, Denver, ColoradoRecognized by many as the father of the data
warehouse"…The applications of computational methods in machine
learning and artificial intelligence are rapidly changing the world
that we work and live in…….. 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?"……..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" ……. 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…….. a timely, engaging, useful, and highly informative…"
John W. Cromwell, M.D., FACS, FASCRSAssociate Chief Medical Officer
| Director of Surgical Quality and SafetyUniversity of Iowa
Hospitals & ClinicsDirector, Division of Gastrointestinal,
Minimally Invasive, and Bariatric SurgeryClinical Associate
ProfessorUniversity of Iowa Carver College of MedicineFaculty,
Interdisciplinary Graduate Program in InformaticsUniversity of Iowa
Graduate CollegeIowa City, IA"…This book seeks to reduce the "sea
of terms" in Data Science to a systematic terminology to describe
general aspects of AI and Data Science. This system of terms will
permit multiple stakeholders in an organization to speak the same
"language" across the enterprise. This common language will permit
close integration between analytics and those functions in the
organization that precede analytics (e.g. database design and
management) and those deployment functions that follow it (e.g.
marketing campaigns)…… This book is Part I of a three-part
series….….. Part II will focus on the design and architecture of
the organization for success in analytics, from people to process
to technology…… and Part III will provide a broad range of
applications across industries…….All 3 books are needed to fully
understand how to be successful apply analytics !!!"Robert Nisbet,
Ph.D.Goleta, CaliforniaLead author of Handbook of Statistics and
Data Mining Applications (2009, 1st Edition; and 2018 2nd Edition);
Developer of successful AI and ML applications for Business,
Banking, Industry, and Medical areas over the past 30 years.
"….Almost 30 years ago I began using the term "Information
Democracy" to describe a world where everyone has timely, relevant
and actionable insights to carry out the tasks associated with
their role – and align them with the overarching strategy of the
organization…… Since that time, a majority of organizations report
that less than half of their users have such access (to data and
analytics)…….and only a third of organizations claim high or
extremely high data literacy…….The only way that we can make real
progress is through education about the importance and value of
business intelligence and analytics, increasing data literacy and
establishing a solid understanding of all relevant approaches. To
that end, Drs. Burk and Miner have created an excellent addition
with this book ……. their approach has made many of these topics
readily accessible to the novice or manager seeking a basic
understanding as well as to the data science professional seeking a
well-organized reference…."Howard DresnerChief Research
OfficerDresner Advisory Services
"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."Josh Wills, 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."Loren Williams, 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."Dylan Zwick, Former Director of Data Science at
Overstock.com"….The rise of artificial intelligence brings us
excitement and hope, but also causes some anxiety and even fear…….
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…… which I find the most
comprehensive and practical on the market …..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
BlackLocusThe Home Depot Innovation Lab"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……..in tomorrow’s world analytics are going to become so
pervasive that it will become as common as soda pop and ice
cream……..In order to be able to swim with the sharks of tomorrow
you have to have the basics of analytics……..This book is for anyone
who wishes to be conversant in the language of tomorrow!"Bill
Inmon, Denver, ColoradoRecognized by many as the father of the data
warehouse"…The applications of computational methods in machine
learning and artificial intelligence are rapidly changing the world
that we work and live in…….. 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?"……..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" ……. 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…….. a timely, engaging, useful, and highly informative…"
John W. Cromwell, M.D., FACS, FASCRSAssociate Chief Medical Officer
| Director of Surgical Quality and SafetyUniversity of Iowa
Hospitals & ClinicsDirector, Division of Gastrointestinal,
Minimally Invasive, and Bariatric SurgeryClinical Associate
ProfessorUniversity of Iowa Carver College of MedicineFaculty,
Interdisciplinary Graduate Program in InformaticsUniversity of Iowa
Graduate CollegeIowa City, IA"…This book seeks to reduce the "sea
of terms" in Data Science to a systematic terminology to describe
general aspects of AI and Data Science. This system of terms will
permit multiple stakeholders in an organization to speak the same
"language" across the enterprise. This common language will permit
close integration between analytics and those functions in the
organization that precede analytics (e.g. database design and
management) and those deployment functions that follow it (e.g.
marketing campaigns)…… This book is Part I of a three-part
series….….. Part II will focus on the design and architecture of
the organization for success in analytics, from people to process
to technology…… and Part III will provide a broad range of
applications across industries…….All 3 books are needed to fully
understand how to be successful apply analytics !!!"Robert Nisbet,
Ph.D.Goleta, CaliforniaLead author of Handbook of Statistics and
Data Mining Applications (2009, 1st Edition; and 2018 2nd Edition);
Developer of successful AI and ML applications for Business,
Banking, Industry, and Medical areas over the past 30 years.
"….Almost 30 years ago I began using the term "Information
Democracy" to describe a world where everyone has timely, relevant
and actionable insights to carry out the tasks associated with
their role – and align them with the overarching strategy of the
organization…… Since that time, a majority of organizations report
that less than half of their users have such access (to data and
analytics)…….and only a third of organizations claim high or
extremely high data literacy…….The only way that we can make real
progress is through education about the importance and value of
business intelligence and analytics, increasing data literacy and
establishing a solid understanding of all relevant approaches. To
that end, Drs. Burk and Miner have created an excellent addition
with this book ……. their approach has made many of these topics
readily accessible to the novice or manager seeking a basic
understanding as well as to the data science professional seeking a
well-organized reference…."Howard DresnerChief Research
OfficerDresner Advisory Services
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