Social Data Analytics

Book Description

Social Data Analytics is the first practical guide for professionals who want to employ social data for analytics and business intelligence (BI). This book provides a comprehensive overview of the technologies and platforms and shows you how to access and analyze the data. You'll explore the five major types of social data and learn from cases and platform examples to help you make the most of sentiment, behavioral, social graph, location, and rich media data. A four-step approach to the social BI process will help you access, evaluate, collaborate, and share social data with ease.

You'll learn everything you need to know to monitor social media and get an overview of the leading vendors in a crowded space of BI applications. By the end of this book, you will be well prepared for your organization’s next social data analytics project.

  • Provides foundational understanding of new and emerging technologies—social data, collaboration, big data, advanced analytics
  • Includes case studies and practical examples of success and failures
  • Will prepare you to lead projects and advance initiatives that will benefit you and your organization

Table of Contents

  1. Cover
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Acknowledgments
  7. Preface
  8. Chapter 1: A New Universe of Data
    1. Abstract
    2. Understanding social analytic platforms
    3. Platform analytic functions
  9. Chapter 2: Social Analytics in the Enterprise
    1. Abstract
    2. Summary
    3. Put employees first
    4. Pilot, Experiment, Learn
    5. Alstom’s pillars of collaboration
    6. Governance
    7. How to measure success
    8. Success is more than metrics
    9. What’s next?
  10. Chapter 3: Social Business Intelligence
    1. Abstract
    2. Social analytics and business intelligence integration
    3. Case study
    4. Results
  11. Chapter 4: Four Steps to Social Business Intelligence
    1. Abstract
    2. Step 1. Creating and engaging social media presence
    3. Step 2. Tie social media monitoring to your business goals
    4. Step 3. Decide on collaboration
    5. Step 4. Examine analytics for insights
    6. Results
    7. Conclusion
  12. Chapter 5: Valuable Data for the Enterprise
    1. Abstract
    2. Understanding social data types
    3. Location/geographic data
    4. Rich media data
  13. Chapter 6: Accessing the Data
    1. Abstract
    2. Acquire
    3. Refine
    4. Classify
    5. Categorize
    6. Discovery
    7. Metricize
    8. Challenges in data quality
    9. Delivering the infrastructure
    10. Delivering access to data
    11. How does the enterprise use this data
  14. Chapter 7: Social Platforms
    1. Abstract
    2. Understanding the social network landscape
  15. Chapter 8: Social Business Intelligence and Collaboration
    1. Abstract
    2. Increasing customer focus and transforming to customer-driven enterprise
    3. An integrated approach
    4. Enabling a better cross-sell and up-sell opportunity
    5. Business benefits
    6. Social media and software
    7. Social intelligence
    8. Solution architecture
  16. Chapter 9: Social Media and Network Monitoring
    1. Abstract
    2. Bringing the external to the internal – how to create a platform
    3. Perspective on social media tools
  17. Chapter 10: Your First Project
    1. Abstract
    2. Background
    3. Social analytics strategy
    4. The first project implementation
    5. Proof of value exercise
  18. Appendix
  19. Index

Product Information

  • Title: Social Data Analytics
  • Author(s): Krish Krishnan, Shawn P. Rogers
  • Release date: November 2014
  • Publisher(s): Morgan Kaufmann
  • ISBN: 9780123971869