Be approximately right rather than exactly wrong.

This is my favorite part about analytics: Taking boring flat data and bringing it to life through visualization.

To be able to say that "if we change our point of view in the following way ... things are simpler" is always a gain.

Visualization is often used for evil - twisting insignificant data changes and making them look meaningful. Don't do that crap if you want to be my friend. Present results clearly and honestly. If something isn't working - those reviewing results need to know.

When communicating results to non-technical types there is nothing better than a clear visualization to make your point.

If we are going to make a mark (key 21), it might as well be a meaningful one.

The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data.