Analytics for Everyone | Data driven decisions using ChatGPT

Last week, my friend Véronique Desjardins from Fondation Jeunesses Musicales Canada asked for help analyzing donation data to calculate metrics like average donation, retention rates, and trends from an Excel file with about 1,000 rows. Initially, I was eager to dive into the task using Pandas, a tool I’ve used extensively for similar analyses, but then I reconsidered. Instead of providing a one-time solution, I thought about empowering her to handle such analyses independently in the future. With the rise of self-service analytics and tools like ChatGPT, I wondered if this versatile AI could enable non-technical users to extract insights without needing a data analyst or a big budget.

Read More

Previous
Previous

DataFrames Battle Royale | Pandas vs Polars vs Spark

Next
Next

Mastering Streaming Data Pipelines with Kappa Architecture