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How to Handle Big Data
An article in the Harvard Business Review recently pointed out that poor data quality is enemy number one preventing the widespread and proftable use of machine learning. And one study found that business and data analysts end up spending 50 to 80% of their time cleaning up datasets. Given that these individuals are typically highly qualifed and highly paid experts, do you really want them spending their time fxing typos and deleting duplicates? Many of these problems can be prevented by taking a strategic approach to data management.
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