9 key mistakes organizations make when analyzing data

Data analysis is becoming less of a niche skill and more of a common requirement for jobs and roles of all shapes and sizes. Over the past 20 years, data has gone from relatively scarce to so abundant we aren't sure what to do with it. Gathering and analyzing data is a now part of most jobs within most organizations, either to better understand your role, to measure your results or to guide you in what to do next. Unfortunately, the accessibility and ubiquity of data has led to an increased number of amateur mistakes made in analyzing it--so if you want to improve your own analytic abilities and guard against these mistakes, you need to understand them. If your data is bad, even the best data analyst in the world can't save it from leading to bad conclusions.