Recently I read an article where one wise data scientist intoned, "At the end of the most complicated and exhaustive analysis of data, a human being still has to draw an inference and make a decision." And when we reach that point where we have to assess the meaning of the data analysis, our biases come into play.
Many of us tend to trust or rely on data that supports our positions and expectations and suppress data that does the opposite. We also trust data from sources we like or, we rely on data that is the most recent. All of these biases contribute to the challenges and potential for mistakes from our data analyses.
I do not know how to evaluate accurately the data I m receiving and my team is using. What is a good Data Governanace technique?