Frequently Asked Questions
Fabi Analyst Agent is an AI data analyst is designed specifically for AI-powered data analysis. It's designed to work with your data sources and business context to maximize accuracy. It's also fully embedded in a real-time collaborative environment, making it possible to quickly share reproducible analyses with your team.
Fabi's Analyst Agent generates both SQL and Python code. It can write SQL queries to pull data from your warehouse and Python code for advanced analysis, visualizations, and machine learning models.
AI doesn't replace SQL, but it makes SQL accessible to more people. Databases still require SQL to retrieve data, but AI can generate those queries for you based on natural language questions. Using AI for data analysis means anyone on your team can ask questions in plain language and get accurate results, without needing to know SQL.
Yes, Analyst Agent can help build AI analytics dashboards. You can ask it questions to generate the analysis, visualizations, and metrics you need, then convert your Smartbook into a published dashboard or report in just a few clicks. The dashboards are built using SQL and Python, so they're fully customizable and can handle everything from simple charts to complex machine learning models. They also refresh automatically on schedule and stay synced with your latest data.
Fabi's AI Analyst Agent learns from your data and can also be manually configured to use the context and semantics specific to your business.
Product managers, GTM, RevOps, marketing ops and other teams that require data to excel can perform ad hoc analysis and self-service their analytics needs. They can pull insights and create dashboards including*marketing dashboards, sales dashboards, and revenue reports - in minutes with natural language queries rather than filing tickets with the data team.
Analyst Agent reduces the workload on data teams by enabling true self-service analytics across the business. The key advantage is control. Data teams define exactly what data each agent can access, so there's no risk of the AI fabricating answers or pulling from the wrong sources. The code is always visible and transparent, so teams can verify what the AI is doing. Data teams spend less time answering repetitive questions and more time on strategic work, while business users get faster answers with confidence in the data quality.
Yes! Talking to your data in plain English and getting answers right in Slack is as easy as installing our app at the click of a button.