eBook Big Data and Business Analytics, 1st Edition

  • Jay Liebowitz
  • Published By: Auerbach Publications
  • ISBN-10: 1466565799
  • ISBN-13: 9781466565791
  • DDC: 658.4
  • Grade Level Range: College Freshman - College Senior
  • 304 Pages | eBook
  • Original Copyright 2013 | Published/Released February 2016
  • This publication's content originally published in print form: 2013
  • Price:  Sign in for price

About

Overview

"The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions to ‘do this, avoid that.'"—From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee Company

With the growing barrage of "big data," it becomes vitally important for organizations to make sense of this data and information in a timely and effective way. That's where analytics come into play. Research shows that organizations that use business analytics to guide their decision making are more productive and experience higher returns on equity. Big Data and Business Analytics helps you quickly grasp the trends and techniques of big data and business analytics to make your organization more competitive.

Packed with case studies, this book assembles insights from some of the leading experts and organizations worldwide. Spanning industry, government, not-for-profit organizations, and academia, they share valuable perspectives on big data domains such as cybersecurity, marketing, emergency management, healthcare, finance, and transportation.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Contents.
Foreword.
Preface.
About the Editor.
Contributors.
1: Architecting the Enterprise via Big Data Analytics.
2: Jack and the Big Data Beanstalk: Capitalizing on a Growing Marketing Opportunity.
3: Frontiers of Big Data Business Analytics: Patterns and Cases in Online Marketing.
4: The Intrinsic Value of Data.
5: Finding Big Value in Big Data: Unlocking the Power of High-Performance Analytics.
6: Competitors, Intelligence, and Big Data.
7: Saving Lives with Big Data: Unlocking the Hidden Potential in Electronic Health Records.
8: Innovation Patterns and Big Data.
9: Big Data at the U.S. Department of Transportation.
10: Putting Big Data at the Heart of the Decision-Making Process.
11: Extracting Useful Information from Multivariate Temporal Data.
12: Large-Scale Time-Series Forecasting.
13: Using Big Data and Analytics to Unlock Generosity.
14: The Use of Big Data in Healthcare.
15: Big Data: Structured and Unstructured.
Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Contents.
Foreword.
Preface.
About the Editor.
Contributors.
1: Architecting the Enterprise via Big Data Analytics.
2: Jack and the Big Data Beanstalk: Capitalizing on a Growing Marketing Opportunity.
3: Frontiers of Big Data Business Analytics: Patterns and Cases in Online Marketing.
4: The Intrinsic Value of Data.
5: Finding Big Value in Big Data: Unlocking the Power of High-Performance Analytics.
6: Competitors, Intelligence, and Big Data.
7: Saving Lives with Big Data: Unlocking the Hidden Potential in Electronic Health Records.
8: Innovation Patterns and Big Data.
9: Big Data at the U.S. Department of Transportation.
10: Putting Big Data at the Heart of the Decision-Making Process.
11: Extracting Useful Information from Multivariate Temporal Data.
12: Large-Scale Time-Series Forecasting.
13: Using Big Data and Analytics to Unlock Generosity.
14: The Use of Big Data in Healthcare.
15: Big Data: Structured and Unstructured.