A Quick Lesson in Correlation vs. Causation from Countly

Too often, we join the wrong dots when we're making decisions. We "correlate" our variables, based on incomplete data, resulting in business inefficiencies and losses. When in fact, the answer lies in "causation". So what's the difference?

In this fascinating, free eguide from Countly, we break down causation versus correlation and the unconscious human biases that dog us, using use cases and examples to highlight scenarios and risks. We explore:

  • The obstacles faced in data gathering
  • Using testing to check for causation
  • A strategic approach to data collection

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