![rw-book-cover](https://assets-global.website-files.com/645b95590a150b5fa33cc181/651d1f92e56bf79310c0fe4f_GDG%20Posts%20(1).png) ## Metadata - Author: [[arpit-choudhury|Arpit Choudhury]] - Full Title:: Good Data to Growth: The GDG Model and Book Introduction - Category:: #🗞️Articles - Document Tags:: [[Data culture|Data culture]], [[Data team vision and mission|Data Team Vision And Mission]], - URL:: https://databeats.community/p/good-data-to-growth-introduction - Finished date:: [[2023-12-02]] ## Highlights > It starts with some **context** from the growth team – an insight, hypothesis, intuition, or the desire to know the unknown. When data is collected without context, the quality suffers and the likelihood of that data being used is quite low. ([View Highlight](https://read.readwise.io/read/01hgnkwwssgysxsmq8y1v4s468)) > Context leads to **questions** to derive more insights or to prove a hypothesis or intuition. ([View Highlight](https://read.readwise.io/read/01hgnkx1xmy52y7jaq33v7bkz6)) > Defining metrics upfront often leads to more questions; the sooner those questions come up, the more robust the data collection process is. ([View Highlight](https://read.readwise.io/read/01hgnkxgbffek16esjz9megfq2))