Big Data and Business Analytics
eBook - PDF

Big Data and Business Analytics

  1. 304 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Big Data and Business Analytics

About this book

"The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions todo this, avoid that.'"-From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee CompanyWith the growing barrage of "big data, " it becomes vitally important for organizations to mak

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Yes, you can access Big Data and Business Analytics by Jay Liebowitz in PDF and/or ePUB format, as well as other popular books in Business & Management. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Auerbach Publications
Year
2016
Print ISBN
9781498774796
eBook ISBN
9781466565791
Edition
1
Topic
Business
Subtopic
Management
Index
Business
1
1
Architecting 
the 
Enterprise 
via 
Big 
Data 
Analytics
*
Joseph 
Betser 
and 
David 
Belanger
* 
All 
trademarks, 
trade 
names, 
and 
service 
marks 
are 
the 
property 
of 
their 
respective 
owners.
CONTENTS
Introduction 
........................................................................................................
2
Challenges 
...........................................................................................................
2
Emerging 
Phenomena 
.......................................................................................
3
Social 
Networks 
..................................................................................................
3
Person-Centric 
Services 
and 
Communities 
....................................................
4
Technology 
Drivers 
and 
Business 
Analytics 
...................................................
4
From 
Numbers 
to 
Big 
Data 
...............................................................................
4
How 
Did 
We 
Get 
Here? 
................................................................................
4
Why 
Does 
It 
Matter? 
...................................................................................
10
How 
Has 
Technology 
Evolved 
to 
Support 
ese 
Requirements? 
.........
11
Redening 
the 
Organization
...........................................................................
12
inking 
about 
Redening
.........................................................................
12
Some 
Challenges 
..........................................................................................
13
Some 
Opportunities 
....................................................................................
13
Restructuring 
Opportunities
......................................................................
14
Preparing 
for 
a 
Big 
Data 
World 
......................................................................
18
Science, 
Technology, 
Engineering, 
and 
Mathematics 
.............................
18
Recommendations
............................................................................................
19
References
.........................................................................................................
20

Table of contents

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