I’ve started using ChatGPT for cleaning data and generating quick SQL queries, but I’m sure there’s way more potential here. How are you integrating LLMs into your analytics or engineering workflow?
Vidhi Shah
on May 27, 2025
It’s fantastic that you’re already leveraging LLMs for data cleaning and SQL generation! You’re right, there’s a huge amount of potential beyond those basic use cases. Here’s how people are integrating LLMs into their analytics and engineering workflows, from common practices to more advanced applications:
LLM Integration in Analytics & Engineering
- Data Exploration: Natural language querying (NL2SQL), automated data profiling, feature engineering suggestions.
- Data Prep: Advanced data cleaning/transformation, schema mapping, automated ETL/ELT script generation.
- Analytics & Modeling: Code generation for ML models, model explanations, automated report generation.
- Operations: Explaining monitoring alerts, automating documentation, powering internal data chatbots.
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