To many people, quantitative reasoning is similar to a foreign language — asking someone without an analytics skillset to interpret regression model results can be as meaningful as asking them to read a novel in Greek. Yet, at the same time, it is equally as foreign to ask those who are trained in analytics to fully comprehend every possible theoretical impact a data model will have.

The reality is that making optimal use of sophisticated data requires the abilities of two different individuals, or teams, or offices to meaningfully communicate with one another — the data producers and the data…










Will Miller

Data guy. Higher ed administrator. PhD from Akron in urban studies and public affairs. Fan of sports, politics, and the Florida life.

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