Overview

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.

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9780996712125

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Reviews

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

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 program. 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, overlooked 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 business 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

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 proÂ--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, overÂ--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 busiÂ--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

Author Information

Jeff Deal is the Vice President of Operations for Elder Research, Inc. Working out of the firm's corporate headquarters in Charlottesville, Virginia, he oversees operational, contractual, and financial matters. Drawing on his more than twenty-five years of management experience in business and government, he regularly helps organizational clients clarify and attain their data analytics goals. A frequent speaker on the subject of organizational challenges to meeting data analytics goals, Mr. Deal is the program chair for the annual Predictive Analytics World - Healthcare conference, which annually attracts leading analytics professionals in the healthcare industry from around the country. He holds a Master of Health Administration degree from Virginia Commonwealth University in Richmond, Virginia, and a Bachelor of Arts degree from the College of William and Mary in Williamsburg, Virginia, where he was a member of the wrestling team. Jeff and his wife, Jennifer, have four children. In his spare time he enjoys hiking, reading, and an increasing amount of recreational travel with his wife, now that their kids have all moved out of the house. Gerhard Pilcher, Chief Executive Officer for Elder Research, is responsible for the firm's northern Virginia office. He has more than thirty years of industry and consulting experience with commercial businesses and government institutions in the United States and abroad. His specialties include fraud detection, financial risk management, and healthcare outcomes. Mr. Pilcher earned a Master of Science degree in analytics from the Institute for Advanced Analytics at North Carolina State University in Raleigh, North Carolina. He is an adjunct faculty member in the math and statistics masters degree program at Georgetown University, and a regular instructor at the SAS Business Knowledge Series course, ""Data Mining: Principles and Best Practices."" Gerhard currently serves on the advisory boards of the Institute for Advanced Analytics and the Masters in Science in Business Analytics program at George Washington University. Gerhard and his wife, Denise, have two children. In his spare time, he especially enjoys outdoor activities, including mountaineering and trail running.

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