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Unstructured data analytics : how to improve customer acquisition, customer retention, and fraud detection and prevention /
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
Wiley,
2018.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- 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.
- 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.
- 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?
- 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.
- 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.