The question you have to answer is, 'how good is the data'? Much data already assembled into big data sets is of a very conventional nature and may not yield interesting insights into innovation. Asking the right questions is critical, not the quantity of data. So don't just accept the data set that is given, ask about its origins; what was it collected for and what assumptions were made?
A good example of a huge UK data set that is largely irrelevant is the data on Socio-Economic Groups. We have vast data sets generated over decades, and although they tell us almost nothing of the behaviour of the people, they are still extensively used. It is very hard to be innovative and relevant if you have garbage data.
If in many research works, for the purposes of conducted scientific research, the analysis of information collected in Big Data database systems is already used, more and more attempts will be made by various research centers to use data processing in the cloud data collected in Big Data database systems. The data mining technology, artificial intelligence, busieness intelligence and other advanced information and analytical technologies will also be added to this. I invite you to the discussion
В процесе разработки проектов управленческих решений важное мосто занимает определение и формирование релевантной информации из всего масива собраной информации. Именно поэтому есть проблематичным определить критерии для выставления линий разделения в масиве информации собраной в Big Data базы.
I believe that the big data is that "innovation" in the day that we have fallen to live. This is the same innovation as in its time railways, electricity, communication lines or the engine. Every innovation is a relief of human life. The only question is how to learn how to correctly implement it and use it in everyday life.