Thanks for this blog, I enjoyed very much your explanation about noise, by the way. I'm very interested in knowing more about this, because it also articulates succintly the importance of context on the searching and filtering (if you do have a set of questions) and the analysis and interpretation (if you do not, and you have to formulate them once you have the pool of data at your hands). I agree with you on the need to invest on the possibilities of data even before the interested parties may know what to do with it, but in my work environment I've also seen a lot of misticism with regards of Big Data (or any kind of data) in some audiences. For what I have seen, I think it is easy for business people to get trapped in the promise and rhetoric of it, and pursue some initiatives for which they lack the specific questions AND the technical power to 'just explore'. Sometimes organizations do have the hard technical power, but there is no effective communication between that group of people and the people that could shed some light on the signals that could be right for a specific context. I hear a lot (and I agree) that we have to foster data literacy for the whole organization, but until we get there I'm afraid it will continue to be 'magic' for some people, with the inevitable crash when they see they are not getting 'tangible results' once the initial excitement is over. This disenchantment might undermine further data initiatives, and that would be a pitty. I will stay tuned to your writting and the discussion of the community. Thanks all. Ana J.
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