- Tags:: [[Working in data|Working In Data]] ## Subtopics - [[Measuring a data team impact|Measuring A Data Team Impact]] ## Principles I like - The best value a good data team can provide to an organization is "operational clarity". From [[Driving operational clarity|Driving Operational Clarity]]: ![[Driving operational clarity#^bb2da7]] - The value of data is not in finding huge insights, but on accurately identifying accumulated small wins. From [[Lean analytics|Lean Analytics]]: ![[Lean analytics#^de5a73]] In classical literature, this would be focusing on type I error. ( [[Benn stancil|Benn Stancil]] shared a similar idea from [[cedric-chin|Cedric Chin]] in [[Data arithmetic|Data Arithmetic]], and [[Taylor brownlow|Taylor Brownlow]] have shared similar ideas to this one). Also in the "Rules of Thumb" paper. And [[Peter drucker|Peter Drucker]] too in [[Management. tasks responsibilities practices|Management]]. In fact, this is literally the [[The lean startup|The Lean Startup]] Build-Measure-Learn loop. (To be extended). And thank god, because as [[Nassim nicholas taleb|Nassim Nicholas Taleb]] describes: if you activity depends on finding Black Swans (insights), you are set up for despair. Also related [link](https://bsky.app/profile/gertfromwell.bsky.social/post/3lbatrbfq3k2t) :![[Pasted image 20241125084426.jpg|400]] ## Additional interesting refs to linked mentions - A list curated by [[Emilie schario|Emilie Schario]]: [Modern Data Teams - Amplify](https://amplifypartners.com/moderndatateamshub/). - [GitHub - ronikobrosly/awesome-data-leadership: A curated list of awesome posts, videos, and articles on leading a data team (small and large)](https://github.com/ronikobrosly/awesome-data-leadership?utm_campaign=Data_Elixir&utm_source=Data_Elixir_391#readme) - [Datawocky: More data usually beats better algorithms] (https://anand.typepad.com/datawocky/2008/03/more-data-usual.html?utm_source=pocket-app&utm_medium=share)