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Social Data Analytics
Collaboration for the Enterprise
1st Edition - November 10, 2014
Authors: Krish Krishnan, Shawn P. Rogers
Language: English
Paperback ISBN:9780123971869
9 7 8 - 0 - 1 2 - 3 9 7 1 8 6 - 9
eBook ISBN:9780123977809
9 7 8 - 0 - 1 2 - 3 9 7 7 8 0 - 9
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 comprehen…Read more
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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
Analysts; business intelligence professionals; sales and marketing executives; CRM and call center managers; business managers, VPs and CXOs; IT professionals, managers, and directors; data analysts, scientists, and architects; Data warehouse and database professionals
Dedication
Acknowledgments
Preface
Chapter 1: A New Universe of Data
Abstract
Understanding social analytic platforms
Platform analytic functions
Chapter 2: Social Analytics in the Enterprise
Abstract
Summary
Put employees first
Pilot, Experiment, Learn
Alstom’s pillars of collaboration
Governance
How to measure success
Success is more than metrics
What’s next?
Chapter 3: Social Business Intelligence
Abstract
Social analytics and business intelligence integration
Case study
Results
Chapter 4: Four Steps to Social Business Intelligence
Abstract
Step 1. Creating and engaging social media presence
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
Abstract
Understanding social data types
Location/geographic data
Rich media data
Chapter 6: Accessing the Data
Abstract
Acquire
Refine
Classify
Categorize
Discovery
Metricize
Challenges in data quality
Delivering the infrastructure
Delivering access to data
How does the enterprise use this data
Chapter 7: Social Platforms
Abstract
Understanding the social network landscape
Chapter 8: Social Business Intelligence and Collaboration
Abstract
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 software
Social intelligence
Solution architecture
Chapter 9: Social Media and Network Monitoring
Abstract
Bringing the external to the internal – how to create a platform
Perspective on social media tools
Chapter 10: Your First Project
Abstract
Background
Social analytics strategy
The first project implementation
Proof of value exercise
Appendix
Index
No. of pages: 158
Language: English
Edition: 1
Published: November 10, 2014
Imprint: Morgan Kaufmann
Paperback ISBN: 9780123971869
eBook ISBN: 9780123977809
KK
Krish Krishnan
Krish Krishnan is a recognized expert worldwide in the strategy, architecture and implementation of high performance data warehousing solutions and unstructured Data. A sought after visionary data warehouse thought leader and practitioner, he is ranked as one of the top strategy and architecture consultants in the world in this subject. Krish is also an independent analyst, and a speaker at various conferences around the world on Big Data and teaches at TDWI on this subject. Krish along with other experts is helping drive the industry maturity on the next generation of data warehousing, focusing on Big Data, Semantic Technologies, Crowdsourcing, Analytics, and Platform Engineering.
Krish is the founder president of Sixth Sense Advisors Inc., a Chicago based company providing Independent Analyst services in Big Data, Analytics, Data Warehouse and Business Intelligence.
Affiliations and expertise
Founder and President of Sixth Sense Advisors, Inc., Chicago, Illinois, USA
SR
Shawn P. Rogers
Shawn Rogers joined Enterprise Management Associates in 2010 as vice president of the business intelligence (BI) practice area. In this role, Rogers delivers comprehensive coverage of the business intelligence and data warehouse technology stack with a focus on database technology, data integration, business intelligence management solutions, reporting, analytics, performance management, as well as emerging technologies such as SaaS BI, embedded BI and social BI. Shawn has more than 19 years of hands-on IT experience, with a focus on Internet- enabled technology. In 2004 he co-founded the BeyeNETWORK and held the position of Executive Vice President and Editorial Director. Shawn guided the company’s international growth strategy and helped the BeyeNETWORK grow to 18 Web sites around the world, making it the largest and most read community covering the business intelligence, data warehousing, performance management and data integration space. Prior to co-founding the BeyeNETWORK, Shawn was Internet Business Development Director at Thomson Media (now SourceMedia), President of Achieve Communications and a partner at DMReview magazine (now Information Management) – where he was Vice President as well as Publisher and Editorial Director of DMReview.com, a leading business intelligence and data warehousing Web site.
Affiliations and expertise
Information Management Group, Dell Inc., Boulder, Colorado