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210123 ||| eng |
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|a 9781119378846
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|a 1119129753
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|a 1119378842
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|a 9781119325499
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|a 1119325498
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4 |
|a HD30.215
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| 100 |
1 |
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|a Isson, Jean Paul
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| 245 |
0 |
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|a Unstructured data analytics
|b how to improve customer acquisition, customer retention, and fraud detection and prevention
|c Jean Paul Isson
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| 260 |
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|a Hoboken, New Jersey
|b Wiley
|c 2018
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| 300 |
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|a 1 online resource
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| 505 |
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|a Representation Learning or Feature LearningNatural Language Processing; Cognitive Computing/Analytics; Neural Network; The UDA Industry; Uses of UDA; How UDA Works; Why UDA Is the Next Analytical Frontier?; Interview with Seth Grimes on Analytics as the Next Business Frontier; UDA Success Stories; Amazon.com; Spotify; Facebook; ITA Software; Internet Search Engines: Bing.com, Google.com, and the Like; Monster Worldwide; The Golden Age of UDA; Key Takeaways; Notes; Further Reading; Chapter 3: The Framework to Put UDA to Work; Introduction; Why Have a Framework to Analyze Unstructured Data?
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| 505 |
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|a Includes bibliographical references and index
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|a Cover; Title Page; Copyright; Contents; Foreword; Preface; Acknowledgments; Chapter 1: The Age of Advanced Business Analytics; Introduction; Why the Analytics Hype Today?; 1. Costs to Store and Process Information Have Reduced; 2. Interactive Devices and Censors Have Increased; 3. Data Analytics Infrastructures and Software Have Increased; 4. User-Friendly and Invisible Data Analytics Tools Have Emerged; 5. Data Analytics Is Becoming Mainstream, and It Means a Lot to Our Economy and World; 6. Major Leading Tech Companies Have Pioneered the Data Economy
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| 505 |
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|a 7. Big Data Analytics Has Become a Big Market Opportunity8. The Number of Data Science University Programs and MOOCs Has Intensified; A Short History of Data Analytics; Early Adopters: Insurance and Finance; What is the Analytics Age?; Interview with Wayne Thompson, Chief Data Scientist at SAS Institute; Key Takeaways; Notes; Further Reading; Chapter 2: Unstructured Data Analytics: The Next Frontier of Analytics Innovation; Introduction; What Is UDA?; Why UDA Today?; Big Data as a Catalyst; Artificial Intelligence (AI); Machine Learning; Deep Learning
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| 505 |
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|a Predictive ModelsUDA and Online Marketing: Optimizing Your Acquisition and Customer Response Models; How Does UDA Applied to Customer Acquisition Work?; The Power of UDA for E-mail Response and Ad Optimization; How to Drive More Conversion and Engagement with UDA Applied to Content; How UDA Applied to Customer Retention (Churn) Works; What Is UDA Applied to Customer Acquisition?; Consumer/Customer Decision Journey; Lessons from McKinsey's Consumer Decision Journey; What Is UDA Applied to Customer Retention (Churn)?; The Power of UDA Powered by Virtual Agent
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| 505 |
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|a The IMPACT Cycle Applied to Unstructured DataFocusing on the IMPACT; Identify Business Questions; Master the Data; Text Parsing Example; The T3; Technique; Tools; Interview with Cindy Forbes, Chief Analytics Officer and Executive Vice President at Manulife Financial; Case Study; Key Takeaways; Notes; Further Reading; Chapter 4: How to Increase Customer Acquisition and Retention with UDA; The Voice of the Customer: A Goldmine for Understanding Customers; Why Should You Care about UDA for Customer Acquisition and Retention?; The Voice of the Customer; Predictive Models and Online Marketing
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| 653 |
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|a BUSINESS & ECONOMICS / Management Science / bisacsh
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| 653 |
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|a Business planning / fast
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| 653 |
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|a Industrial management / Statistical methods
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| 653 |
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|a BUSINESS & ECONOMICS / Management / bisacsh
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| 653 |
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|a BUSINESS & ECONOMICS / Organizational Behavior / bisacsh
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| 653 |
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|a Gestion d'entreprise / Méthodes statistiques
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| 653 |
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|a Industrial management / Statistical methods / fast
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| 653 |
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|a Business planning / http://id.loc.gov/authorities/subjects/sh85032906
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| 653 |
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|a BUSINESS & ECONOMICS / Industrial Management / bisacsh
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 500 |
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|a Includes index
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| 776 |
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|z 9781119378846
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| 776 |
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|z 9781119325499
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|z 1119378842
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|z 1119325498
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|z 9781119129752
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| 856 |
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|u https://learning.oreilly.com/library/view/~/9781119129752/?ar
|x Verlag
|3 Volltext
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