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Critical thoughts about big data analysis
Completed on 02-Jul-2016 (57 days)
An increasingly big number of businesses are realising about the numerous benefits of adequately understanding their clients' data. Additionally, internet and the associated huge amount of valuable information have played an important role in the wide adoption of data-analysis techniques. In fact, so much interest and availability of (free and easy-in-appearance) resources have provoked situations where data models are heavily misused. This section deals precisely with one of the main consequences of such a reality.
With data hording, I refer to a widely-spread-among-online-businesses attitude involving the collection of as much information as possible without properly analysing it. Such a (mis)proceeding has been somehow supported by the irruption of numerous big-data tools, commonly misunderstood as easy ways for people from any background to intuitively get worthy conclusions.
The aforementioned misconception has a negative impact on different fronts: