## Metadata - Author: [[helen-l-kupp|Helen L Kupp]] - Full Title:: Why Is Data Hard? - Category:: #🗞️Articles - Document Tags:: [[Data culture|Data culture]], [[Data culture|Data culture]], - URL:: https://medium.com/@HelenLeeKupp/why-is-data-hard-3ed96ec70f3f - Finished date:: [[2023-06-21]] ## Highlights > Data exploration is different from accessing dashboards, and I want to call that out here ([View Highlight](https://read.readwise.io/read/01h3eeqwh1bgf61j1ewrfm49rr)) > We also work to educate the company on which to use and under what circumstances — a key function that a centralized analytics team can support when partnering with stakeholders and business partners. ([View Highlight](https://read.readwise.io/read/01h3eetan5yjkpzkj1v6f9051h)) > In practice, data is hard because it involves very cross-functional teams, and a lot of “under the hood” work that most people in the company don’t realize needs to happen. Insights are just the tip of the iceberg. ([View Highlight](https://read.readwise.io/read/01h3ef4m7wc1ds91ac2v8k3j2q)) > Getting all the data teams aligned on the above, and create a process and forum for continuing to surface these very cross-functional projects and priorities so that global prioritization can happen (what we like to call #data-XFN). ([View Highlight](https://read.readwise.io/read/01h3ef9ctrsg17rdsjs22wpnjy))