Pick the right metrics
- Good metrics are consistent, quick to collect and cheap
- And that they capture something your business cares about
Understand the differences between analytics and experiments
- Analytics measures what is happening in your business
- Experiments test responses to new ideas or approaches
Ask the right question of the data
- Frame the right question to allow effective analysis of the data
Know the difference between correlation and causation
- Correlation is where there is a data match, with or without a connection. Good correlation is important, although not an indication of cause.
Causation is about direct cause and effect
Know the basics of data visualization
- Am I presenting (summary/conclusion) or circulating data (reference)?
- Use the right kind of chart to emphasis relationships
- Be clear about the message you are trying to convey to support the audience’s understanding
- Ensure that the visuals reflect the numbers
- Make the data as memorable as possible
Learn statistics
https://hbr.org/2014/05/an-introduction-to-data-driven-decisions-for-managers-who-dont-like-math/
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