Coverart for item
The Resource Big data, big analytics : emerging business intelligence and analytic trends for today's businesses, Michael Minelli, Michele Chambers, Ambiga Dhiraj

Big data, big analytics : emerging business intelligence and analytic trends for today's businesses, Michael Minelli, Michele Chambers, Ambiga Dhiraj

Label
Big data, big analytics : emerging business intelligence and analytic trends for today's businesses
Title
Big data, big analytics
Title remainder
emerging business intelligence and analytic trends for today's businesses
Statement of responsibility
Michael Minelli, Michele Chambers, Ambiga Dhiraj
Creator
Contributor
Subject
Language
eng
Summary
"The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics."--Publisher's website
Member of
Cataloging source
DLC
http://library.link/vocab/creatorDate
1974-
http://library.link/vocab/creatorName
Minelli, Michael
Dewey number
658.4/72
Illustrations
illustrations
Index
index present
LC call number
HD38.7
LC item number
.M565 2013
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1975-
http://library.link/vocab/relatedWorkOrContributorName
  • Chambers, Michele
  • Dhiraj, Ambiga
Series statement
Wiley CIO
http://library.link/vocab/subjectName
  • Business intelligence
  • Information technology
  • Electronic data processing
  • Data mining
  • Strategic planning
  • Information storage and retrieval systems
  • Punched card systems
Label
Big data, big analytics : emerging business intelligence and analytic trends for today's businesses, Michael Minelli, Michele Chambers, Ambiga Dhiraj
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
What Is Big Data and Why Is It Important?. A Flood of Mythic "Start-Up" Proportions ; Big Data Is More Than Merely Big ; Why Now? ; A Convergence of Key Trends ; Relatively Speaking... ; A Wider Variety of Data ; The Expanding Universe of Unstructured Data ; Setting the Tone at the Top ; Notes. -- Industry Examples of Big Data. Digital Marketing and the Non-line World ; Don't Abdicate Relationships ; Is IT Losing Control of Web Analytics? ; Database Marketers, Pioneers of Big Data ; Big Data and the New School of Marketing ; Consumers Have Changed. So Must Marketers ; The Right Approach: Cross-Channel Lifecycle Marketing ; Social and Affiliate Marketing ; Empowering Marketing with Social Intelligence ; Fraud and Big Data ; Risk and Big Data ; Credit Risk Management ; Big Data and Algorithmic Trading ; Crunching Through Complex Interrelated Data ; Intraday Risk Analytics, a Constant Flow of Big Data ; Calculating Risk in Marketing ; Other Industries Benefit from Financial Services' Risk Experience ; Big Data and Advances in Health Care ; "Disruptive Analytics" ; A Holistic Value Proposition ; BI Is Not Data Science ; Pioneering New Frontiers in Medicine ; Advertising and Big Data: From Papyrus to Seeing Somebody ; Big Data Feeds the Modern-Day Donald Draper ; Reach, Resonance, and Reaction ; The Need to Act Quickly (Real-Time When Possible) ; Measurement Can Be Tricky ; Content Delivery Matters Too ; Optimization and Marketing Mixed Modeling ; Beard's Take on the Three Big Data Vs in Advertising ; Using Consumer Products as a Doorway ; Notes. -- Big Data Technology ; The Elephant in the Room: Hadoop's Parallel World ; Old vs. New Approaches ; Data Discovery: Work the Way People's Minds Work ; Open-Source Technology for Big Data Analytics ; The Cloud and Big Data ; Predictive Analytics Moves into the Limelight ; Software as a Service BI ; Mobile Business Intelligence is Going Mainstream ; Ease of Mobile Application Deployment ; Crowdsourcing Analytics ; Inter- and Trans-Firewall Analytics ; R&D Approach Helps Adopt New Technology ; Adding Big Data Technology into the Mix ; Big Data Technology Terms ; Data Size 101 ; Notes. -- Information Management. The Big Data Foundation ; Big Data Computing Platforms (or Computing Platforms That Handle the Big Data Analytics Tsunami) ; Big Data Computation ; More on Big Data Storage ; Big Data Computational Limitations ; Big Data Emerging Technologies. -- Business Analytics. The Last Mile in Data Analysis ; Geospatial Intelligence Will Make Your Life Better ; Listening: Is It Signal or Noise? ; Consumption of Analytics ; From Creation to Consumption ; Visualizing: How to Make It Consumable? ; Organizations Are Using Data Visualization as a Way to Take Immediate Action ; Moving from Sampling to Using All the Data ; Thinking Outside the Box ; 360° Modeling ; Need for Speed ; Let's Get Scrappy ; What Technology Is Available? ; Moving from Beyond the Tools to Analytic Applications ; Notes. -- The People Part of the Equation. Rise of the Data Scientist ; Learning over Knowing ; Agility ; Scale and Convergence ; Multidisciplinary Talent ; Innovation ; Cost Effectiveness ; Using Deep Math, Science, and Computer Science ; The 90/10 Rule and Critical Thinking ; Analytic Talent and Executive Buy-in ; Developing Decision Sciences Talent ; Holistic View of Analytics ; Creating Talent for Decision Sciences ; Creating a Culture That Nurtures Decision Sciences Talent ; Setting Up the Right Organizational Structure for Institutionalizing Analytics. -- Data Privacy and Ethics. The Privacy Landscape ; The Great Data Grab Isn't New ; Preferences, Personalization, and Relationships ; Rights and Responsibility ; Playing in a Global Sandbox ; Conscientious and Conscious Responsibility ; Privacy May Be the Wrong Focus ; Can Data Be Anonymized? ; Balancing for Counterintelligence ; Now What?
Control code
816160358
Dimensions
24 cm
Extent
xxiii, 187 pages
Isbn
9781118147603
Isbn Type
(hbk.)
Lccn
2012044882
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
Label
Big data, big analytics : emerging business intelligence and analytic trends for today's businesses, Michael Minelli, Michele Chambers, Ambiga Dhiraj
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
What Is Big Data and Why Is It Important?. A Flood of Mythic "Start-Up" Proportions ; Big Data Is More Than Merely Big ; Why Now? ; A Convergence of Key Trends ; Relatively Speaking... ; A Wider Variety of Data ; The Expanding Universe of Unstructured Data ; Setting the Tone at the Top ; Notes. -- Industry Examples of Big Data. Digital Marketing and the Non-line World ; Don't Abdicate Relationships ; Is IT Losing Control of Web Analytics? ; Database Marketers, Pioneers of Big Data ; Big Data and the New School of Marketing ; Consumers Have Changed. So Must Marketers ; The Right Approach: Cross-Channel Lifecycle Marketing ; Social and Affiliate Marketing ; Empowering Marketing with Social Intelligence ; Fraud and Big Data ; Risk and Big Data ; Credit Risk Management ; Big Data and Algorithmic Trading ; Crunching Through Complex Interrelated Data ; Intraday Risk Analytics, a Constant Flow of Big Data ; Calculating Risk in Marketing ; Other Industries Benefit from Financial Services' Risk Experience ; Big Data and Advances in Health Care ; "Disruptive Analytics" ; A Holistic Value Proposition ; BI Is Not Data Science ; Pioneering New Frontiers in Medicine ; Advertising and Big Data: From Papyrus to Seeing Somebody ; Big Data Feeds the Modern-Day Donald Draper ; Reach, Resonance, and Reaction ; The Need to Act Quickly (Real-Time When Possible) ; Measurement Can Be Tricky ; Content Delivery Matters Too ; Optimization and Marketing Mixed Modeling ; Beard's Take on the Three Big Data Vs in Advertising ; Using Consumer Products as a Doorway ; Notes. -- Big Data Technology ; The Elephant in the Room: Hadoop's Parallel World ; Old vs. New Approaches ; Data Discovery: Work the Way People's Minds Work ; Open-Source Technology for Big Data Analytics ; The Cloud and Big Data ; Predictive Analytics Moves into the Limelight ; Software as a Service BI ; Mobile Business Intelligence is Going Mainstream ; Ease of Mobile Application Deployment ; Crowdsourcing Analytics ; Inter- and Trans-Firewall Analytics ; R&D Approach Helps Adopt New Technology ; Adding Big Data Technology into the Mix ; Big Data Technology Terms ; Data Size 101 ; Notes. -- Information Management. The Big Data Foundation ; Big Data Computing Platforms (or Computing Platforms That Handle the Big Data Analytics Tsunami) ; Big Data Computation ; More on Big Data Storage ; Big Data Computational Limitations ; Big Data Emerging Technologies. -- Business Analytics. The Last Mile in Data Analysis ; Geospatial Intelligence Will Make Your Life Better ; Listening: Is It Signal or Noise? ; Consumption of Analytics ; From Creation to Consumption ; Visualizing: How to Make It Consumable? ; Organizations Are Using Data Visualization as a Way to Take Immediate Action ; Moving from Sampling to Using All the Data ; Thinking Outside the Box ; 360° Modeling ; Need for Speed ; Let's Get Scrappy ; What Technology Is Available? ; Moving from Beyond the Tools to Analytic Applications ; Notes. -- The People Part of the Equation. Rise of the Data Scientist ; Learning over Knowing ; Agility ; Scale and Convergence ; Multidisciplinary Talent ; Innovation ; Cost Effectiveness ; Using Deep Math, Science, and Computer Science ; The 90/10 Rule and Critical Thinking ; Analytic Talent and Executive Buy-in ; Developing Decision Sciences Talent ; Holistic View of Analytics ; Creating Talent for Decision Sciences ; Creating a Culture That Nurtures Decision Sciences Talent ; Setting Up the Right Organizational Structure for Institutionalizing Analytics. -- Data Privacy and Ethics. The Privacy Landscape ; The Great Data Grab Isn't New ; Preferences, Personalization, and Relationships ; Rights and Responsibility ; Playing in a Global Sandbox ; Conscientious and Conscious Responsibility ; Privacy May Be the Wrong Focus ; Can Data Be Anonymized? ; Balancing for Counterintelligence ; Now What?
Control code
816160358
Dimensions
24 cm
Extent
xxiii, 187 pages
Isbn
9781118147603
Isbn Type
(hbk.)
Lccn
2012044882
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations

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      38.944491 -92.326012
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