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Data cleansing for reliable analytics and business intelligence

https://ift.tt/wr2WcHF According to Forbes, data scientists spend about 80% of their time on data collection, cleansing, and preparation, w...

https://ift.tt/wr2WcHF

According to Forbes, data scientists spend about 80% of their time on data collection, cleansing, and preparation, while only 20% of it is left for actual data analysis. Organizations that don’t utilize master data management systems or data warehouses to keep their data clean and accurate end up basing crucial business decisions on bad data.  … Read More »Data cleansing for reliable analytics and business intelligence

The post Data cleansing for reliable analytics and business intelligence appeared first on Data Science Central.



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