Mining Your Own Business: A Primer for Executives on Understanding and Employing Data Mining and Predictive Analytics

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9780996712101: Mining Your Own Business: A Primer for Executives on Understanding and Employing Data Mining and Predictive Analytics

In this practical guide for organizational leaders and top-level executives, industry experts Jeff Deal and Gerhard Pilcher explain in clear, understandable English...


  • What data mining and predictive analytics are,

  • Why they are such powerful management tools,

  • How and when to use them for greatest positive impact across a broad spectrum of industries.


Complete with solid advice and instructive case histories, it demonstrates how to harness the power of data mining and predictive analytics, while avoiding costly mistakes. Use it to gain a quick overview of the subject and as a handy resource to be referred to again and again.
If you re preparing to lead or participate in a data analytics initiative, this is the one book you must read!
Receiving early, strong praise from business government leaders who are using these powerful management tools to achieve dramatic goals for projects and their organizations.


CONTENTS


Introduction and Overview


1.Empowering the Decision Makers


Hunting for Needles in Haystacks


Breaking the Mind Barrier


A World of Applications


2.Clearing Up the Confusion


Ten Levels of Analytics


Four Categories of Modeling Knowledge


Supervised vs. Unsupervised Learning


Levels and Advanced Data Types


The Analytic Organization


3.Leading a Data Analytics Initiative


Starting Small


Examples of Poor vs. Good Focus


Cultivating the Culture


Managing a Data Analytics Initiative


The Experiences of a Mobile Phone Service Provider


Leadership is Key


A Parade of Champions at a Federal Agency


A Lack of Leadership at a Financial Firm


The Effect of Different Leadership Styles at a


Government Agency


Bold Leadership Required


4.Staffing a Data Analytics Project


Individual or Team?


Assembling the Team


What is a Data Scientist?


More than Academic Credentials


The Most Important Quality


Mike Thurber s Story


Building Teams through Gap Analysis


5.Acquiring the Right Tools


A Variety of Techniques and Disciplines


Interface Level of Tools


Sources of Tools


A Word about Open-Source Tools Tool Trends


6.Hiring Data Analytics Consultants


Discerning Fact from Hype


Evaluating Industry Experience


Evaluating Analytics Experience


Finding the Right Consultant


The Modeling Process


7.Understanding the Data Mining Process


The CRISP-DM Process


Resist the Temptation to Take Shortcuts


8.Understanding the Business


Clarifying Your Objective


Defining the Terminology


Framing the Questions


An Unexpected Finding


9.Understanding and Preparing the Data


Understanding the Data


Cleaning the Data


Perfect Data


Collecting and Preparing the Data


Fostering Cooperation


Governing the Data


10.Building the Model


Inside the Black Box


Building an Illustrative Model


Non-Linear Models


Choosing a Model


Response Surfaces of Predictive Models


The Trade-off between Accuracy and Interpretability


Choosing and Testing Modeling Algorithms


Dealing with Variance


Model Ensembles


11.Validating the Model


Technical Validation


Checking for Mistakes


Checking for Generalization


Using Experts to Qualify Model Results


Target Shuffling


Business Validation


Putting the Model into Practice


12.Deploying the Model


Planning & Budgeting for Deployment


Business Processes Are Key


Example: FindingTaxpayer Fraud


Four Important Questions


13.Realizing the TransfoTransformation


Realizing the Potential


The Tipping Point


Appendix

"Sinopsis" puede pertenecer a otra edición de este libro.

About the Author:

Jeff Deal is Vice President of Operations for Elder Research with more than thirty years of experience managing healthcare and consulting businesses. Though Jeff has been deeply immersed in the analytics business in a leadership role, he well remembers his initial introduction to this rapidly-moving field and brings that layman s perspective to the book. Jeff also chairs the annual Predictive Analytics World—Healthcare conference, which attracts leading analytics professionals in the healthcare industry from around the country.
Gerhard Pilcher is Chief Executive Officer for Elder Research, with more than thirty years of analytics experience in commercial businesses and government institutions. He is an adjunct faculty member in the Math and Statistics Masters Program at Georgetown University, a regular instructor in the SAS Business Knowledge Series courses, and a member on the advisory boards of the Institute for Advanced Analytics at North Carolina State University and the Masters of Science in Business Analytics Program at George Washington University.

Review:

"Government and Industry Executives, if you have not been comfortable with buying into a program based on advanced analytics, algorithms, and data scientists, this book will be transformational for you and your pro¬gram. It captures all the critical elements and decades of experiences into a few clear pages that will light the path for predictive improvements. I will be sharing it with my leadership and program managers. Great job, gentlemen, in making a complex equation simple to follow!" -Fred Walker Technical Director Counterintelligence, National Security Agency "Amidst the concerns about the shortage of data scientists, a larger, over¬looked obstacle is finding C-, VP-, and director-level leaders who understand enough about advanced analytics to hire, manage, and deploy solutions. Deal and Pilcher have written a practical and insightful 'primer for executives' to expertly fill this void." -Dean Abbott Co-Founder and Chief Data Scientist at SmarterHQ Author of Applied Predictive Analytics "Data science and big data often don't live up to their silver bullet hype.Why? Because IT and business are so different, and so hard to harmonize. This book is an excellent remedy; Deal and Pilcher distill a decade of analytics experience into a vital guide to what works. Mining Your Own Business is a must read for anyone interested in being right-by harnessing data to drive decisions." -Peter Aiken, PhD Founding Director/Data Blueprint Associate Professor of Information Systems/Virginia Commonwealth University "Deal and Pilcher have distilled their decades of experience into an easy-to-read book that will benefit any business person dealing with analytics. They keep technical details to a minimum while focusing on the key facts, decisions, and actions that business people need to be successful with analytics. Abundant real-world examples reinforce their practical and valuable advice. Your time reading the book will be well spent!" -Bill Franks Chief Analytics Officer, Teradata Author of Taming The Big Data Tidal Wave and The Analytics Revolution "Deal and Pilcher have taken their in-depth academic and seasoned busi¬ness knowledge of analytics, and distilled it into an engaging and enlightening book that is both a "how-to" guide and a reference source. Using materials from a varied client base ranging from government agencies to hedge funds, they clearly outline the steps and best practices to develop leading-edge analytics programs. They describe sophisticated techniques and provide illustrative examples of the resulting quantifiable value. Whether you are CIO or a non-technical senior executive, this book will help you answer two key questions: How can data mining and predictive analytics advance my business? And perhaps, even more importantly, how do I get started?" -Rafael Pabon Consultant and CIO, Sherman Hill Group "I think this book could be a game-changer! Every business and government leader who has anything to do with data analytics should read it." -Yoony Doh Advanced Analytics Practice Area Lead and Project Manager Halfaker and Associates, LLC

"Sobre este título" puede pertenecer a otra edición de este libro.

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Descripción Data Science Publishing, 2016. Paperback. Estado de conservación: New. Language: English . Brand New Book ***** Print on Demand *****.Data Mining and Predictive Analytics - 21st Century s Most Powerful New Management Tools In this practical guide for organizational leaders and top-level executives, industry experts Jeff Deal and Gerhard Pilcher explain in clear, understandable English. What data mining and predictive analytics are Why they are such powerful management tools How and when to use them for greatest positive impact across a broad spectrum of industries Complete with solid advice and instructive case histories, it demonstrates how to harness the power of data mining and predictive analytics, while avoiding costly mistakes. Use it to gain a quick overview of the subject and as a handy resource to be referred to again and again. If you re preparing to lead or participate in a data analytics initiative, this is the one book you must read! Receiving early, strong praise from business government leaders who are using these powerful management tools to achieve dramatic goals for projects and their organizations. Nº de ref. de la librería APC9780996712101

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Descripción Data Science Publishing, 2016. Paperback. Estado de conservación: New. Language: English . Brand New Book ***** Print on Demand *****. Data Mining and Predictive Analytics - 21st Century s Most Powerful New Management Tools In this practical guide for organizational leaders and top-level executives, industry experts Jeff Deal and Gerhard Pilcher explain in clear, understandable English. What data mining and predictive analytics are Why they are such powerful management tools How and when to use them for greatest positive impact across a broad spectrum of industries Complete with solid advice and instructive case histories, it demonstrates how to harness the power of data mining and predictive analytics, while avoiding costly mistakes. Use it to gain a quick overview of the subject and as a handy resource to be referred to again and again. If you re preparing to lead or participate in a data analytics initiative, this is the one book you must read! Receiving early, strong praise from business government leaders who are using these powerful management tools to achieve dramatic goals for projects and their organizations. Nº de ref. de la librería APC9780996712101

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Descripción Data Science Publishing, 2016. Paperback. Estado de conservación: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Data Mining and Predictive Analytics - 21st Century s Most Powerful New Management Tools In this practical guide for organizational leaders and top-level executives, industry experts Jeff Deal and Gerhard Pilcher explain in clear, understandable English. What data mining and predictive analytics are Why they are such powerful management tools How and when to use them for greatest positive impact across a broad spectrum of industries Complete with solid advice and instructive case histories, it demonstrates how to harness the power of data mining and predictive analytics, while avoiding costly mistakes. Use it to gain a quick overview of the subject and as a handy resource to be referred to again and again. If you re preparing to lead or participate in a data analytics initiative, this is the one book you must read! Receiving early, strong praise from business government leaders who are using these powerful management tools to achieve dramatic goals for projects and their organizations. Nº de ref. de la librería LIE9780996712101

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Descripción Data Science Publishing. Paperback. Estado de conservación: New. 184 pages. In this practical guide for organizational leaders and top-level executives, industry experts Jeff Deal and Gerhard Pilcher explain in clear, understandable EnglishWhat data mining and predictive analytics are, Why they are such powerful management tools, How and when to use them for greatest positive impact across a broad spectrum of industries. Complete with solid advice and instructive case histories, it demonstrates how to harness the power of data mining and predictive analytics, while avoiding costly mistakes. Use it to gain a quick overview of the subject and as a handy resource to be referred to again and again. If you re preparing to lead or participate in a data analytics initiative, this is the one book you must read!Receiving early, strong praise from business government leaders who are using these powerful management tools to achieve dramatic goals for projects and their organizations. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Nº de ref. de la librería 9780996712101

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