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Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
Infopresse veracity
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Infopresse veracity

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  • The Social Data Revolution
  • Transcript

    1. Chapter 2The 4th V: Data Veracity
    2. @cgtheoret
    3. @cgtheoret
    4. Every minute 8-10 months ago:• 48 hours of video are downloaded on Youtube• 320 new accounts and 98,000 tweets appear on Twitter• 168,000,000 million emails are sent• 20,000 new posts on Tumblr• 6,600 photos appear on Flickr• Over 20% of all websites are CMS/wordpress/etc…
    5. Every minute today:• 60 hours of video are downloaded on Youtube• ??? new accounts and 236,000 tweets appear on Twitter• 204,000,000 million emails are sent• 28,000 new posts on Tumblr• 1,600 photos appear on Flickr !!! No shit!
    6. @cgtheoret
    7. @cgtheoret
    8. @cgtheoret
    9. @cgtheoret
    10. @cgtheoret
    11. But…• Facebook has lost 1.5 million users in Canada and 6 million in the United States• Yahoo study: 50% of the content that is read and shared by humans is produced by only 20, 000 accounts 0.05% @cgtheoret
    12. @cgtheoret
    13. Gartner is predicting an explosion in Social Media Analytics It spending @cgtheoret
    14. @cgtheoret
    15. @cgtheoret
    16. In a lot of ways “Big Data” is like Oil…• Difficult and expensive to extract @cgtheoret
    17. Difficult and expensive to extract @cgtheoret
    18. Difficult and expensive to store and distribute @cgtheoret
    19. Cheapest (and least useful) when its unrefined @cgtheoret
    20. @cgtheoret
    21. @cgtheoret
    22. In a lot of ways “Big Data” is like Oil…• Can’t be used by consumers unless refined• More expensive at every step of refinement @cgtheoret
    23. The Market is Producing a plethora of derived higher value data products @cgtheoret
    24. @cgtheoret
    25. In a lot of ways “Big Data” is like Oil…• Difficult and expensive to extract• Difficult and expensive to store and distribute• Cheapest in its unrefined form• More expensive at every step of refinement• Produces a plethora of derived products• and it’s actually quite “dirty”!!!! @cgtheoret
    26. Social Data Analytics = Oil Refineries @cgtheoret
    27. Social Data is one of the reasons why IBM added a 4th V to the Big Data Definition VERACITY @cgtheoret
    28. 6 factors affect Data Veracity …1. Accuracy: Is it true?2. Precision: If true, error margin?3. Reliability: Is it there all the time?4. Provenance: Can you trace the source?5. Fidelity: Did it change from the source?6. Permission: Can you use it for the context? @cgtheoret
    29. Black Hat SEO : Blogs
    30. Black Hat Social Marketing : Twitter
    31. Twitter: 50% of brand followers are bots
    32. Or in some cases over 90 %…
    33. Dissapearing Romney: FB as well…
    34. Trying to solve the Veracity problem …
    35. Trying to solve the Veracity problem …
    36. The Big Guys are now doing Veracity … MuraliKrishnam<murali.krishnam@saama.com >MuraliKrishnam<murali.krishnam@saama.co m>
    37. Merci!cg.theoret@nexalogy.com @cgtheoret @cgtheoret

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