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The Social Media Monitoring Bubble

May 9th, 2013 · 3 Comments

Twitter Data and War Games

It seems everywhere you turn there’s talk of Big Data especially unstructured Big Data. Most of the time what they’re really talking about though is “Social Media Monitoring”. It’s a sin to call social media monitoring a bubble if you work anywhere in the analytics space.

Social media monitoring isn’t questioned because everyone likes the idea of it being free, open and easy to analyze.

No one points out that it’s basically just (RSS) Twitter data, nor do they ever discuss how useful, if at all, it is in being able to solve any real problems.

If Social Media Analysis were a game I think it would probably be Tic-Tac-Toe:

Just wondering how long it will take to discover this?

@TomHCAnderson

[Full Disclosure: Tom H. C. Anderson is Managing Partner of Anderson Analytics which develops and sells patent pending data mining and text analytics software platform OdinText]

[Post to Twitter] 

Tags: Social Analytics · Social Analytics Summit · Social Media · Social Media Guru · Social Media Marketing · Social networks · Text Analysis · Text Analytics · Uncategorized · social-media analytics · text mining

3 responses so far ↓

  • 1 Dan Erickson // May 10, 2013 at 12:09 am

    Tic Tac Toe, maybe. Perhaps it’s even something a bit more childish, but us adults seem to get caught up in it all the same. de

  • 2 Lynda // Jun 20, 2013 at 12:47 am

    I just want to be make sure I’m clear. Are you completely discounting social media monitoring as a valid area for insight mining? Not asking facetiously…

  • 3 Tom H C Anderson // Jun 20, 2013 at 10:55 am

    @Lynda No I’m questioning the current hype and ROI as well as sustainability of 150+ social media monitoring firms all going after the same small RSS data set. Most data usually has some value to someone. The question is just how valuable it is comparatively. From what I have seen the hype around Twitter is more driven by the easy accessibility of this data to developers rather than the representativeness of Twitter users or the usefulness/quality of that data.

    Would you not agree?

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