Tutorials

Tap into the power of ClickHouse to query billions of records in milliseconds and the power of Fabi.ai to turn those results into a low latency dashboard.

Python Dashboards are the most powerful way to build custom dashboards and integrate exploratory data analysis and reporting.

Python is the single most powerful programming language for data analysis. However, it falls short for natural language processing. LLMs (aka. AI) are perfect for the task. In this article we walk you through how to use the two together.

Sending regular reports out via email is a great way to disseminate insights and SQL and Python are great for advanced analysis and conditional reporting. In this how-to tutorial we show you how to leverage Fabi.ai to send your first email in 5 minutes.

Failing to understanding confounding variables can lead to incorrect conclusions (and decisions) about cause and effect. In this post we dive into examples and how to handle confounding variables.

3 quick ways to run a Python script in just a few minutes.

Marketing Mix Models (MMM) are a powerful tool to understand the impact various factors, such as spend by channel, have on sales. In this post we explore MMMs and provide a practical step-by-step guide to building your first model.