Big Data, Big Analytics / Wiley CIO (ePub)
Emerging Business Intelligence and Analytic Trends for Today's Businesses
(Sprache: Englisch)
Unique prospective on the big data analytics phenomenon for both business and IT professionals
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...
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...
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Produktinformationen zu „Big Data, Big Analytics / Wiley CIO (ePub)“
Unique prospective on the big data analytics phenomenon for both business and IT professionals
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.
* Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.)
* Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights
* Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.
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.
* Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.)
* Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights
* Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.
Inhaltsverzeichnis zu „Big Data, Big Analytics / Wiley CIO (ePub)“
Foreword Preface Acknowledgments Chapter 1 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 Chapter 2 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 Fraud and Big Data Risk and Big Data Credit Risk Management Big Data and Algorithmic Trading Calculating Risk in Marketing Other Industries Benefit from Banking's Risk Experience Big Data and Advances in Healthcare "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 Draper Measurement Can Be Tricky Beard's Take on the Three Big Data V's in Advertising Using Consumer Products as a Doorway Notes Chapter 3 Big Data Technology The Elephant in the Room: Hadoop's Parallel World Old versus 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 Chapter 4 Information Management The Big Data Foundation Big Data Computing Platforms (or Computing Platforms that can handle the Big Data Analytics Tsunami) Big Data Computation More on Big Data Storage Big Data Computational Limitations Big Data Emerging Technologies Chapter 5 Business Analytics The Last Mile in Data Analysis
... mehr
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 Degree Modeling Need for Speed Let's Get Scrappy What Technology is Available? Moving from beyond the Tools to Analytic Applications Notes Chapter 6 The People Part of the Equation Rise of the Data Scientist Learning over Knowing 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 Chapter 7 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 Counter Intelligence Now What? Notes Conclusion Recommended Resources About the Authors Index
... weniger
Autoren-Porträt von Michael Minelli, Michele Chambers, Ambiga Dhiraj
Considered one of the top sales and marketing executives in the business analytics space, MICHAEL MINELLI is Vice President, Information Services, for MasterCard Advisors. The majority of his sixteen years of analytics industry experience was at SAS, where he spent over eleven years helping clients with large-scale analytic projects related to marketing, risk, supply chain, and finance.MICHELE CHAMBERS is currently in the Big Data Analytics startup world and was formerly the General Manager & Vice President of Big Data Analytics at IBM, where her team was responsible for working with customers to fully exploit the IBM Big Data Platform.
AMBIGA DHIRAJ is the Head of Client Delivery for Mu Sigma, where she leads their delivery teams to solve high-impact business problems in the areas of marketing, supply chain, and risk analytics for market-leading companies across multiple verticals.
Bibliographische Angaben
- Autoren: Michael Minelli , Michele Chambers , Ambiga Dhiraj
- 2012, 1. Auflage, 224 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118239156
- ISBN-13: 9781118239155
- Erscheinungsdatum: 27.12.2012
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 4.99 MB
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Sprache:
Englisch
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