Data analysts spend a majority of their time cleaning data, not generating insights. According to a Forbes study, 60% of their time is dedicated to cleaning data. And more recent testimonials suggest this number may have gone up since the time of publication. But why is this so important? That’s because insights are only as accurate as their underlying data. Bad data quality can mean reducing accu