Engaging customers using big data : how marketing analytics are transforming business /

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Bibliographic Details
Author / Creator:Sathi, Arvind, author.
Edition:First edition.
Imprint:New York, NY : Palgrave Macmillan, 2014.
Description:xiv, 215 pages : illustrations ; 25 cm
Language:English
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/10072883
Hidden Bibliographic Details
ISBN:9781137386182 (hardback)
1137386185 (hardback)
Notes:Includes bibliographical references and index.
Table of Contents:
  • List of Illustrations
  • Acknowledgments
  • Chapter 1. Introduction
  • Why This Book?
  • Propositions
  • Data Sources
  • Audience
  • Book Overview
  • Chapter 2. Changing Winds
  • Introduction
  • Rise of Digital Society
  • Connected Cars
  • Ubiquitous Use of Mobile Platform
  • Savvy Customers Discover Social Networking
  • Crowdsourced Analytics Tools
  • Monetization
  • Private and Public Cloud
  • Customer Preferences and Privacy Concerns
  • So How Does It Impact Marketing?
  • Chapter 3. From Sample to Population
  • Introduction
  • Census Data
  • Social Media Data
  • Location Data
  • Product Usage Data
  • Shopping Data
  • Conversation Data
  • Purchase Data
  • Proposition
  • Chapter 4. From Broadcast to Collaboration
  • Introduction
  • Personalized Customer / Product Research
  • Online Advertising
  • Multichannel Shopping
  • Intelligent Campaigns
  • Big-ticket Items and Auction / Negotiation Markets
  • Games, Videos, Smartphones, and Tablets
  • Crowdsourcing and Jams
  • Endorsements and Viral Buzz
  • Proposition
  • Chapter 5. From SiloÆed to Orchestrated Marketing
  • Introduction
  • Customer Profile
  • Entity Analytics
  • Personal Privacy Preference Management
  • Dynamic Pricing
  • Orchestration for Context-based Advertising and Promotion
  • Cross-channel Coordination
  • Market Tests
  • Proposition
  • Chapter 6. Technological Enablers
  • Introduction
  • Velocity, Volume, Variety, and Veracity of Data
  • Stream Computing to Address Velocity
  • Analytics and Storage Engines on Massively Parallel Platforms for High-volume Processing
  • High-variety Data Analysis
  • Pattern Discovery
  • Experiment Design and Adaptive Intelligence
  • Customer Veracity and Identity Resolution
  • Hybrid Solution Architectures
  • Summary
  • Chapter 7. Changes to Marketing Ecosystem and Organization
  • Introduction
  • How Does Big Data Change Media Planning and Marketing Research?
  • Personalized Marketing Actions and the Changing Ecosystem for Advertising
  • Marketing Orchestration and the Impact on Product Management
  • Data Scientists-Where Do They Belong?
  • Infrastructure, Data, or Analytics as a Service
  • A New Role for Marketing Communications Departments
  • Evolution versus Revolution
  • Summary
  • Chapter 8. Consumer versus Corporate Marketing-Convergence or Divergence?
  • Introduction
  • How Is Corporate Marketing Different from Consumer Marketing?
  • Proposition 1. Big Data and Ability to Observe the Population
  • Proposition 2. New Ways to Influence the Customer
  • Proposition 3. Orchestration for Corporate Marketers
  • Conclusions
  • About the Author
  • Notes
  • Index