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Data Model Scorecard: Applying the Industry Standard on Data Model Quality by Steve Hoberman

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Chapter 3 Data Model Scorecard Overview

Aim, wind, and gravity influence an arrow’s trajectory much the same way that deadlines, skills, and experience influence a data model’s trajectory, strongly impacting whether a model will reach its target of accuracy, longevity, practicality, and consistency. The archer’s score can be quickly calculated, and we can easily see the success or failure of her work. This is where the analogy ends, however, because there is no standard way of measuring the strengths and weaknesses of our models, leaving much up to interpretation, perception, and the test of time. After years of reviewing hundreds ...

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