A practical guide to choosing between traditional and AI-powered BI tools based on your team's size and needs, with real metrics from companies that reduced analysis time by 75-92% and eliminated data request backlogs.

Cut dashboard creation time from days to hours by replacing manual workflows with natural language queries. Read about companies that achieved 90-92% time reductions by enabling non-technical teams to generate insights independently.

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.

Fabi's December update introduces application connectors that let you connect to all your data sources (from Amplitude to Stripe).

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.

A practical tutorial showing how to set up AI-powered ad hoc analytics so you can chat with your data in plain English. Connect your database to Fabi's text to SQL agent and query it directly from Claude Desktop - no SQL knowledge required.

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.

Fabi's MCP server is now available in beta, bringing AI-powered data analysis directly to your favorite tools like Claude and Cursor. Learn how customers like Aisle are achieving 92% faster analysis and eliminating hours of manual work each week, and join our first live demo session.

We started our journey of building a Fabi MCP server expecting a smooth implementation. Instead, we encountered OAuth quirks across different clients and inconsistent streaming support. From handling long-running agent calls to navigating evolving specs and authentication headaches, here's what we learned about building MCP servers.

The idea of building off of "vibes" seems far fetched for the existing generation of business and data leaders. However, a new generation is coming to maturity and they've grown up with a different way of operating. This next generation is bringing vibes to the workplace and we need to be ready for the shift.