Good thoughts, always see the data in terms of its business goals first.
Big data doesn’t lead to better data analytics in BusinessDaily
Data science is not necessarily improved by lots of data but by analysis that draws out insights that leads to policies and actions that deliver intended results. ....
In his book ‘‘Numbersense’’, Kaiser Fung, a professional statistician and adjunct statistics professor at New York University, correctly emphasises on data analysis over big data mining.
The careful observation of data and good questions generated from careful observations, not the size of it - the ability to process, store and make sense out of the data. He gives the example where some years ago the Gates Foundation made a mistake of assuming that smaller schools are better for student achievement which was later proven to be untrue.
The unfortunate bit about the current hype on big data mining is that there is not enough attention paid into reporting the accuracy of data mining and processing procedures. Most of data being analyzed today is unstructured, poorly formatted, poorly documented and not designed with the data scientist in mind making it more difficult to process..... "
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