Though statistical analysis will be left to quantitative analysts, managers have a critical role to play in the beginning and end of the process, framing the question and analyzing the results. In the 2013 article “Keep Up with Your Quants,” Thomas Davenport lists six questions that managers should ask to push back on their analysts’ conclusions:
- What was the source of your data?
- How well do the sample data represent the population?
- Does your data distribution include outliers? How did they affect the results?
- What assumptions are behind your analysis? Might certain conditions render your assumptions and your model invalid?
- Why did you decide on that particular analytical approach? What alternatives did you consider?
- How likely is it that the independent variables are actually causing the changes in the dependent variable? Might other analyses establish causality more clearly?
Authors: Thomas Davenport, Walter Frick
Source: An Introduction to Data-Driven Decisions for Managers Who Don’t Like Math
Subject: IT Questions
Source: An Introduction to Data-Driven Decisions for Managers Who Don’t Like Math
Subject: IT Questions
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