Ask Bigeye a question. Get the answer, with context, in seconds.

For team leads onboarding new analysts and engineers

A new hire who can ask Bigeye a question on day one is more useful than one who spends week one learning where everything lives. bigAI Chat gives new teammates a way into the platform that doesn't require a tour guide.

For team leads managing onboarding across a growing data organization, that's one fewer dependency to manage.

For data analysts and data stewards

Getting an answer from Bigeye currently means knowing where to look: which view, which filter, which table. bigAI Chat removes that prerequisite. Ask "which pipelines downstream of this source have open quality issues" and get an answer with the relevant context already attached, in seconds.

For teams that spend more time navigating than analyzing, the time it saves compounds quickly.

For Sales and Solutions Engineering in live demos and POCs

Live demos that depend on a precise click path are fragile. bigAI Chat replaces the rehearsed sequence with a direct question. Ask about root cause in the moment, get the answer with lineage and quality context attached, and keep the conversation moving.

Teams running demos with bigAI Chat need less rehearsal time and carry less risk of a wrong turn in front of a prospect.

For Data Engineers and Analytics Engineers

Defining data quality checks used to mean manual configuration and clicking through UI menus. With bigAI Chat, you can simply describe the checks you need, like "add freshness and volume checks to the user_events table," and let the AI handle the setup.

This turns a tedious, repetitive task into a single-sentence action, ensuring your data quality coverage grows as fast as your data warehouse.