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Analytics, business strategy, Causal Analysis, data science, Decision Analysis, Problem Solving, Research Methods, statistics
Martyn Richard Jones
Causal analysis is the field of experimental design and statistics pertaining to establishing cause and effect. Typically, it involves establishing four elements: correlation, sequence in time (that is, causes must occur before their proposed effect), a plausible physical or information-theoretical mechanism for an observed effect to follow from a possible cause, and eliminating the possibility of common and alternative (“special”) causes. Such analysis usually involves one or more artificial or natural experiments.
https://en.wikipedia.org/wiki/Causal_analysis
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