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Highlights

Ser data-driven no es de guapas:

Bad data quality has dangerous, real-life consequences. One study cited in the book finds that the cost of bad data to be 15% to 25% of revenue for most companies. Another estimates that knowledge workers spend 50% of their time dealing with mundane data quality issues. This can involve going into datasets to manually correct individual records, requiring secondary confirmation before making decisions with data and fixing the inevitable mixtapes that emerge from faulty datasets. Finally, an IBM study states that bad data costs the US economy $3.1 trillion per year. (View Highlight)