The Age of Big Data Analytics is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. This represents a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue, and profitability.
Written for business managers and executives who want to make the most out of their information resources, Big Data, Big Analytics strikes a careful balance between high-level strategy and sample code, making an otherwise highly technical topic accessible through stories, metaphors, and analogies. The authorsdecision science and analytics expertsdescribe the enabling technology and illustrate the value of Big Data through industry examples. After introducing the people and corporations who are successfully working with Big Data, the book delves deeper into the organization and the roles it takes to make Big Data successful.
In this user-friendly guide, you'll discover:
The availability of Big Data, low-cost commodity hardware, new information management, and analytic software has produced boundless opportunities for your organization to jump ahead of the competition. Discover how to analyze astonishing data sets quickly and cost-effectively with the tools and strategies found in Big Data, Big Analytics.
Praise for Big Data, Big Analytics
"The perfect amount of detail, told in a way that provides insight into an ever-changing business landscape with real-world applicationno matter your area of expertise."
Frank Blake, Chairman and CEO, The Home Depot
"Big Data is like a giant pile of puzzle pieces. And once brought together into context . . . the unfolding picture enables smarter action and ultimately better business outcomes. This is a timely and well-written book for business and IT executives to get up to speed on the Big Data world!"
Jeff Jonas, IBM Fellow and Chief Scientist, IBM Entity Analytics
"Big Data impacts all of us, and this book is a well-written compilation of what you need to get started. Michael and his team capture the essence of Big Data in an easy-to-digest fashion that should be shared with your entire executive team."
Mike Blake, CIO, Hyatt
"Every day, companies create enormous quantities of data from various disparate sourceswebsites, sales teams, social media, digital pictures and multimedia, transactional records, etc. This book is essential for business and IT executives to begin to get their arms around 'Big Data' and how it will change the competitive business landscape."
Joe Choti, CTO, Major League Baseball Advanced Media
"Big Data is transforming the modern business world. It dictates how banks grant loans, how hedge funds make trades, and much else. Big Data, Big Analytics gives readers a clear explanation of everything they need to know, from what Big Data is to the technology and how it should be used."
Anthony Goldbloom, founder and CEO, Kaggle
"As a professor of customer intelligence, this book will help my students understand the multidisciplinary nature of Big Data and how to solve problems, better serve customers, and make their companies smarter. Highly recommended reading!"
Tony Branda, a founder of Pace University's Customer Intelligence MS Program
This book contains excellent professional insights in the world of big data. Highly recommended!Published 7 months ago by Ryan S.
Good start to understanding big data and analytics for application within an organization. I enjoyed the discussions on analytic examples currently being used.Published 10 months ago by chadder
The emergence of the concept of "big data" and the development of the field of analytics has meant changes to the ways that organizations manage the explosion of the amount... Read morePublished 13 months ago by AMS
A colleague gave me this book after attending a Mu Sigma conference in Chicago and I loved it. This book seems to be a great read for a reader seeking an overview of data science. Read morePublished 14 months ago by C.K. One (The Avid Reader)
The authors do a great job of providing a non technical perspective on the value of big data. You don't need to be a data scientist to understand the concepts. Read morePublished 15 months ago by Matt Kaiser