ChatGPT is good for "last mile" adhoc analysis (e.g. you already have all your data in a single file and you want to ask a few questions).
If you're looking for data infrastructure with an AI assistant, try https://www.definite.app/. We give you a full data stack in one app:
1. Built-in data warehouse - We spin up a duckdb database for you
2. 500+ connectors (e.g. Postgres, Stripe, HubSpot, Zendesk, etc.) - You don't need to buy a separate ETL, it's also built-in
3. Semantic layer - Define dimensions, measures, and joins using SQL in one place. We have pre-built models for all the sources we support (e.g. the Stripe model already has measures for MRR, churn, etc.)
4. Simple BI / Dashboards - Build a table with the data you want and generate visuals off that table. Works like a pivot table, if you can use a spreadsheet, you can use Definite.
5. AI assistant to help you thru all of this and analyze your data
I'm mike@definite.app if anyone wants help getting set up.
If you're looking for a more powerful version of ChatGPT Data Analysis, I recommend https://julius.ai/.
If you're looking for a version of ChatGPT Data Analysis, but want to offer it to your customers, take a look at us! https://www.lightski.com/ (disclaimer: I'm the co-founder.) We're building this feature of ChatGPT, but in a way that you can embed inside your app, so that your end-users can get an AI Data Scientist without needing to export data, then import it into ChatGPT or Julius.
