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Includes index.

Annotation This volume presents a practical guide for professionals who want to employ social data for analytics and business intelligence (BI). It provides a comprehensive overview of the technologies and platforms and shows you how to access and analyze the data. Explore the five major types of social data and learn from cases and platform examples to help you make the most of sentiment, behavioural, social graph, location, and rich media data.

Cover; Title Page; Copyright Page; Dedication; Contents; List of figures; Acknowledgments; Preface; Chapter 1 -- A New Universe of Data; Understanding Social Analytic Platforms; Platform Functions; Alerting and Workflow; Collaboration; Integration/Application Programming Interfaces; Natural Language Processing; Platform Analytic Functions; Geospatial Analysis; Sentiment Analysis; Influence Analysis; Machine Data Analysis; Demographic Analysis; Brand Affinity; Text Analytics; Chapter 2 -- Social Analytics in the Enterprise; Summary; Put Employees First; Pilot, Experiment, Learn.

Alstom's Pillars of CollaborationGovernance; How to Measure Success; Success Is More Than Metrics; What's Next?; Chapter 3 -- Social Business Intelligence; Social Analytics and Business Intelligence Integration; Social Media; CRM; Marketing Strategy; Business Intelligence; Case Study; SMS Campaign: Route 66 Harley-Davidson; Call to Action; Objective; Strategy; Results; Lessons learned; Chapter 4 -- Four Steps to Social Business Intelligence; Step 1: Creating and Engaging Social Media Presence; Stage 1: Set up a Strategy and Goals to Accomplish; Stage 2: Make a Plan and Content Calendar.

Stage 3: Post Your Content With ConsistenceStage 4: Engage! Don't Just Post; Stage 5: Monitor What Works Best and Does Not Work; Step 2: Tie Social Media Monitoring to Your Business Goals; Step 3: Decide on Collaboration; Step 4: Examine Analytics for Insights; Results; Conclusion; Chapter 5 -- Valuable Data for the Enterprise; Understanding Social Data Types; Behavioral Data; Sentiment Data; Social Graph Data; Location/Geographic Data; Rich Media Data; Chapter 6 -- Accessing the Data; Acquire; Refine; Classify; Categorize; Discovery; Metricize; Challenges in Data Quality.

Delivering the InfrastructureDelivering Access to Data; How Does the Enterprise Use This Data; Chapter 7 -- Social Platforms; Understanding the Social Network Landscape; Blogging Communities; Crowdsourced Content; Discussion Forums; Gaming Communities; Live Streaming; Micro-blogging; Sharing Networks; Special-Interest Platforms; Social Platforms; Ratings and Reviews; Chapter 8 -- Social Business Intelligence and Collaboration; Increasing Customer Focus and Transforming to Customer-Driven Enterprise; An Integrated Approach; Enabling a Better Cross-Sell and Up-Sell Opportunity; Business Benefits.

Social Media and SoftwareSocial Intelligence; Solution Architecture; Chapter 9 -- Social Media and Network Monitoring; Bringing the External to the Internal -- How to Create a Platform; Perspective on Social Media Tools; Chapter 10 -- Your First Project; Background; Social Analytics Strategy; The First Project Implementation; Proof of Value Exercise; Appendix; Summary; Solution; Results; Summary; Solution; Result; Summary; Background; Objectives; What They Did; How They Did It; Evaluation Approach; Results; Integration; Summary; Challenge; Solution; Results; The Future; Index.