Thursday 26 April 2018

9 key mistakes organizations make when analyzing data by Larry Alton via @infomgmt

The accessibility and ubiquity of information has led to an increased number of amateur mistakes in analysis. Here are some of the most common, and how to overcome them.

I think this list needs to be bookmarked, printed out and more importantly referred to in order to try and check for all of these in order to improve the standard of your analytics.

No comments:

Post a Comment

Note: only a member of this blog may post a comment.