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The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in bigdata careers, many people don’t know how to pursue them properly. What is Data Science? Where to Use Data Science?
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Lenders are tightening their actuarial criteria and employing data driven decision making capabilities. If a company is looking to borrow money, they need to understand how bigdata has changed the process. They need to adapt their borrowing strategy to the new bigdata algorithms to improve their changes of securing a loan.
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Bigdata is making it easier for marketers to make the most of their campaigns. Facebook, Google and other major companies collect massive troves of data , which are invaluable for advertisers. Unfortunately, this data is useless without a well-thought out strategy. Bigdata is vital to consumer research.
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In the image above, we can see a graph showing 77% of Christian Americans in 2009, a number that decreased to 65% in 2019. Now, if the issue here is not obvious enough, we can see that the Y-axis in this chart starts from 58% and ends at 78%, making the 12% drop from 2009 to 2019 look way more significant than it actually is.
Users Want to Help Themselves Datamining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Ideally, your primary data source should belong in this group. Bid Goodbye to Standalone Users don’t want to have to leave their app or call IT for insights.
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