Metadata
- Author: Dan Poppy
- Full Title:: Funnel analytics and AI models for event sequences
- Category:: 🗞️Articles
- Document Tags:: ser data-driven no es de guapas, Ser data-driven no es de guapas,
- URL:: https://roundup.getdbt.com/p/ep-63-funnel-analytics-and-ai-models
- Finished date:: 2024-05-27
Highlights
Qué triste, por otra parte.
much of Google and Uber are similar to smaller companies when it comes to where the value comes from. Lots of it is, is still about just getting basic facts and getting them to the decision makers when they are asking for it. (View Highlight)
The very typical loop is product manager working next to an analyst or data scientist. And the product manager keeps asking questions for a deck or to help analyze an experiment or for some dashboard, or just for a custom question. (View Highlight)
The next level of the pyramid is answering the why questions or root causes. When I’m looking at my metrics, why did it suddenly go down? The top level is where analytics is guiding and answering the “how” question. I don’t want to just understand why metrics are moving, I want to understand how I can move my metrics in the direction that I want. It goes from what to why to how, but it’s always a pyramid. (View Highlight)
You can’t come into organization and say let’s just start guiding, because first you need to get the bottom layer down. And that’s where I see 80 percent of the companies are. They are still building that foundation and that’s where a lot of data and data tooling work is. (View Highlight)
even at huge companies like Google, Uber, only a small fraction of decisions, everyday decisions, end up being made on A-B tests. And that’s because it is pretty expensive to run one, right? You have to actually build the feature that you are testing. And then usually it takes anywhere from a couple of weeks to a month to run the test, analyze the experiments, make a decision (View Highlight)