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Critical thoughts about big data analysis
Completed on 02-Jul-2016 (57 days)
Many business opportunities have started to grow around (big) data analysis; a reality which has attracted quite a few not-too-skilled-on-this-front people. Usually, they have a blind trust in easily getting immediate benefits and disproportionate or plainly delusional expectations. Such attitudes tend to be near funding/decision-making spheres, what converts their unreliable opinions into actually influential trends.
Big data challenges are an excellent place to get an accurate idea about this kind of attitudes; actually, the appendix of this project includes a detailed description of my participation in one of these challenges. Roughly speaking, complex (meaning interesting in this context) problems are proposed to a heterogeneous group of skilled, competitive and motivated online data modellers. That's why and regardless any other factor, these contests definitively provide a good reference about what some big-data-concerned(-but-not-necessarily-knowledgeable) companies consider difficult, relevant and even the future.
After having participated in a few of these challenges and analysed a relevant number of additional ones, my ideas about the typical challenge-proposer expectations (at least, the unknowledgeable sub-type) are very clear. I see two main problems here: