## Metadata - Author: [[miles-mcbain|Miles Mcbain]] - Full Title:: Patterns and Anti-Patterns of Data Analysis Reuse - Category:: #🗞️Articles - URL:: https://www.milesmcbain.com/posts/data-analysis-reuse/?utm_source=substack&utm_medium=email - Finished date:: [[2024-05-03]] ## Highlights > It’s *The Data Analyst’s Curse*: You’re keen to prove you can use these much-hyped skills to add value. But as soon as you do, you’re stuck. Your value-add becomes business as usual (BAU). And good luck to you if you think you’re going to shirk BAU to investigate more interesting data - that would be a value-subtract. And those make the well dressed people with soft-keyboard-covered-iPads under their arms very unhappy. ([View Highlight](https://read.readwise.io/read/01hwzr90p2z8wvhgghbsvzteaf)) > Given your curse, your sanity now depends on re-using as much work as possible across these achingly-samey-but-subtlety-different projects. You and your team need to set yourselves up so you can re-cover old ground quickly, hopefully ensuring that you have plenty of time to build on capabilities you’ve already proven, rather than just executing and re-executing the same capability until you all get bored and quit. ([View Highlight](https://read.readwise.io/read/01hwzr9csp3mqrmjqcp3aabzzp))