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Big data analysis statistics. Modern customers look for a highly personalized experience. In 2013 that amounted to 493 billion dollars in reductions. Over 2 5 quintillion bytes of data is generated worldwide every day. Consulting firm mckinsey estimated that big data analytics adoption can save up to 17 of healthcare costs.
By 2021 insight driven businesses are predicted to take 1 8 trillion annually from their less informed peers. Mathematics and statistical skills. The basic tools that are needed to perform basic analysis are when working with large datasets it doesn t involve a problem as these methods aren t computationally intensive with the exception of correlation analysis. With today s technology it s possible to analyze your data and get answers from it almost immediately an effort that s slower and less efficient with more traditional business intelligence solutions.
Data driven organizations are 23 times more likely to. When analyzing data it is possible to have a statistical approach. Big data is useful across the board but certain industries benefit from it much more than others. Good old fashioned number crunching this is extremely necessary be it in data science data analytics or big data.
Computers are the workhorses behind every data strategy. Big data analytics examines large amounts of data to uncover hidden patterns correlations and other insights. Data analysis is a process of inspecting cleansing transforming and modeling data with the goal of discovering useful information informing conclusions and supporting decision making.
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