Best practices

This is a first-person narrative from Fabi's marketing lead, documenting a month-long experiment in which they used Fabi's AI Analyst Agent to automate their marketing reporting.

There’s a misconception that you need to learn how to code to build automated data workflows. Here’s why that’s no longer true with AI.

In this blog, we go through seven clear signs that show when startups have outgrown spreadsheets. If you're experiencing 2-3 of these issues, it's time to upgrade your data infrastructure.

Good data visualization is often expensive and time-consuming. Here’s how to use AI data visualization tools to drive fast, cost-effective, and accurate insights.

Where do you turn when you need to create new, custom-branded charts and graphs quickly? Here are the best AI data visualization tools for the job.

Analysts waste 78% of their time on data preparation rather than generating insights, costing enterprises millions annually. This guide compares AI business analytics platforms like Fabi.ai, ThoughtSpot, Qlik, Julius AI, and BlazeSQL.

Data teams lose 50+ hours each month answering repetitive ad hoc analysis requests, instead of focusing on strategic work. Fabi's AI-powered platform enables self-service analytics and reduces analysis time by 90%+, helping teams like Aisle eliminate 40-50 monthly data requests while elevating data scientists to strategic advisors.