Ever had a vehicle with a recurring problem that your mechanic couldn’t solve? I recently did, and it got me thinking about the physical side of data and decision making. 10 different mechanics are presented with the same symptoms, the same error codes from a computer – basically they all have the same data.
Why did the final mechanic, who had the same information solve a simple problem when others couldn’t? Just like a tire problem, there are only a few moving parts to making good data driven decisions: Good data, and good talent to synthesize the information, test hypotheses, and draw consulsions to act, using data to validate his decisions.
I didn’t enter the week thinking that I’d take a lesson in business analytics from a great mechanic, but glad I did.
(BTW, if you want to hear the story in all of it’s glory, including a Star Wars theme played in my honor, click here.)