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Chapter 2
The 4th V: Data Veracity
@cgtheoret
@cgtheoret
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…
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!
@cgtheoret
@cgtheoret
@cgtheoret
@cgtheoret
@cgtheoret
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
@cgtheoret
Gartner is predicting an explosion in Social
 Media Analytics It spending




                       @cgtheoret
@cgtheoret
@cgtheoret
In a lot of ways “Big Data” is like Oil…
• Difficult and expensive to extract




                       @cgtheoret
Difficult and expensive to extract




              @cgtheoret
Difficult and expensive to store and distribute




                     @cgtheoret
Cheapest (and least useful) when its unrefined




                    @cgtheoret
@cgtheoret
@cgtheoret
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
The Market is Producing a plethora of derived
         higher value data products




                    @cgtheoret
@cgtheoret
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
Social Data Analytics = Oil Refineries




                @cgtheoret
Social Data is one of the reasons why IBM added
         a 4th V to the Big Data Definition
                     VERACITY




                     @cgtheoret
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
Black Hat SEO : Blogs
Black Hat Social Marketing : Twitter
Twitter: 50% of brand followers are bots
Or in some cases over 90 %…
Dissapearing Romney: FB as well…
Trying to solve the Veracity problem …
Trying to solve the Veracity problem …
The Big Guys are now doing Veracity …




         MuraliKrishnam<murali.krishnam@saama.com
         >MuraliKrishnam<murali.krishnam@saama.co
         m>
Merci!
cg.theoret@nexalogy.com



 @cgtheoret




         @cgtheoret

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Infopresse veracity

Editor's Notes

  1. The Social Data Revolution