Social Media Analytics: Techniques and Insights for Extracting Business Value Out of Social Media
- 3h 48m
- Avinash Kohirkar, Matthew Ganis
- IBM Press
Transform Raw Social Media Data into Real Competitive Advantage
There’s real competitive advantage buried in today’s deluge of social media data. If you know how to analyze it, you can increase your relevance to customers, establishing yourself as a trusted supplier in a cutthroat environment where consumers rely more than ever on “public opinion” about your products, services, and experiences.
Social Media Analytics is the complete insider’s guide for all executives and marketing analysts who want to answer mission-critical questions and maximize the business value of their social media data. Two leaders of IBM’s pioneering Social Media Analysis Initiative offer thorough and practical coverage of the entire process: identifying the right unstructured data, analyzing it, and interpreting and acting on the knowledge you gain.
Their expert guidance, practical tools, and detailed examples will help you learn more from all your social media conversations, and avoid pitfalls that can lead to costly mistakes.
You’ll learn how to:
- Focus on the questions that social media data can realistically answer
- Determine which information is actually useful to you—and which isn’t
- Cleanse data to find and remove inaccuracies
- Create data models that accurately represent your data and lead to more useful answers
- Use historical data to validate hypotheses faster, so you don’t waste time
- Identify trends and use them to improve predictions
- Drive value “on-the-fly” from real-time/ near-real-time and ad hoc analyses
- Analyze text, a.k.a. “data at rest”
- Recognize subtle interrelationships that impact business performance
- Improve the accuracy of your sentiment analyses
- Determine eminence, and distinguish “talkers” from true influencers
- Optimize decisions about marketing and advertising spend
Whether you’re a marketer, analyst, manager, or technologist, you’ll learn how to use social media data to compete more effectively, respond more rapidly, predict more successfully…grow profits, and keep them growing.
About the Authors
Dr. Matthew Ganis, a member of IBM’s Academy of Technology, is currently an IBM Senior Technical Staff Member located in Somers, New York. His current areas of interest include social media analytics, the Internet of Things, and Agile software methodologies. He is an adjunct professor of computer science and astronomy at Pace University in Pleasantville, New York, where he teaches at both the undergraduate and graduate level.
Dr. Ganis holds a BS degree in computer science and an MBA in information systems from Pace University, an MS degree in astronomy from the University of Western Sydney, Australia, and a doctorate of professional studies in computing from Pace University. He has authored or co-authored over 40 papers in both of his fields of interest, ranging from programming techniques, computer system administration, computer networking, and topics on stellar evolution and radio astronomy. He is also the proud coauthor of A Practical Guide to Distributed Scrum published by IBM Press.
In his 30-year career at IBM, he has been responsible for a number of technological advances such as the creation of the first enterprise firewalls for IBM; the creation of highly available World Wide Web platforms to support the Atlanta, Sydney, and Nagano Olympics (which secured Dr. Ganis and his team a spot in the Guinness Book of World Records for the highest sustained rate of Internet web traffic); and the proliferation of advanced software development techniques across IBM’s worldwide development laboratories.
Avinash Kohirkar is currently Manager of Social Business Adoption in IBM. His current areas of interest include deployment and adoption of social technologies within an enterprise, social engagement dashboards, and social media analytics. Avinash Kohirkar holds a BS degree in electronics and communications engineering from Osmania University (India), an MS degree in industrial engineering from NITIE (India), and an MBA in finance from California State University. He has contributed to IBM white papers and has given numerous presentations on social analytics in IBM and outside IBM. He has authored a number of articles on this subject that have been published in the Cutter IT Journal and Infosys Lab Briefings.
In his 19-year career at IBM, he has leveraged technologies such as e-business, Web 2.0, social collaboration, social graph technologies, big data, and social media and text analytics for the business benefit of IBM and IBM’s customers. He is recognized as a thought leader in the project management profession within IBM and is certified as Executive Project Manager at the highest level within IBM. He has held several technical, business, and management positions during his career: Architect, Development Manager, Project Manager, Project Executive, Associate Partner, Project Executive, and Business Manager.
In this Book
Social Media Analytics—Techniques and Insights for Extracting Business Value Out of Social Media
Preface—Mining for Gold (or Digging in the Mud)
Looking for Data in all the Right Places
Separating the Wheat from the Chaff
Whose Comments Are We Interested In?
Timing Is Everything
Social Data: Where and Why
The Right Tool for the Right Job
Reading Tea Leaves: Discovering Themes, Topics, or Trends
Fishing in a Fast-Flowing River
If You Don’t Know What You Want, You Just May Find It: Ad Hoc Analysis
Rivers Run Deep: Deep Analysis
The Enterprise Social Network
Murphy Was Right! The Art of What Could Go Wrong
Visualization as an Aid to Analytics
Appendix A—Case Study