Where is the value in Big Data? @broadstuff @brisbourne

This post picks up on Alan Patrick's (link) and Nic Brisbourne's (link) posts on an original GigaOm article about Big Data case studies.  I think about data (big or small) with the business model that has a collector of data, storage of data, data analysis and controller of the feedback loop (did the analysis get it right) and not about its structure of how to scale it.


 


When I look at the models presented by GigaOm and consider Alan's matrix, I think about the value, volume in each of the four elements of the model.  Value I think still lies not with he who collects or stores data ( big commodity players) but with the analysis engines and those who control the digital feedback look.  This to me is why the writing in on the wall for Banks and Telco's  as they are only enablers and commodity players (needed but not valued) and are not the participants and value adders who will get the multiple on value.  I am not sure the graphs are right, but love some feedback.



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