Data team vision and mission

Subtopics

The best value a good data team can provide to an organization is “operational clarity”. From Driving Operational Clarity:

“We were always so frustrated when we got asked for similar things over and over. At some point we realized that in order to get a holistic view of the business, leaders had to make sense of data spread across 6 or 7 different reports. It was a lightbulb moment for us. We realised what’s really needed is a clear sense of what is going on, and alignment on the biggest problems.” (View Highlight)

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The value of data is not in finding huge insights, but on accurately identifying accumulated small wins. From 📖 Lean Analytics:
Math is good at optimizing a known system; humans are good at finding a new one. (p. 38)
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In classical literature, this would be focusing on type I error. ( Benn Stancil shared a similar idea from Cedric Chin in Data Arithmetic, and Taylor Brownlow have shared similar ideas to this one). Also in the “Rules of Thumb” paper. And Peter Drucker too in Management. Tasks, responsibilities, practices. In fact, this is literally the Lean Startup Build-Measure-Learn loop. (To be extended). And thank god, because as Taleb describes: if you activity depends on finding Black Swans (insights), you are set up for despair. Also related link :