Best practices

A guide to AI analytics tools for non-technical users, organized by how you work — file uploads, live data connections, or shared dashboards. No SQL required for any of them.

A comprehensive comparison of the best AI data analysis tools, organized by how you actually work. Covers self-service platforms, analyst notebooks, enterprise BI with AI features, and warehouse-native options.

A practical comparison of the best AI text-to-SQL tools. Covers full analytics platforms, open source libraries, notebook-based tools, and enterprise options — with honest trade-offs for analysts, developers, and business users.

Sigma's spreadsheet interface works well for business users, but limited AI, no Python, and opaque pricing leave real gaps. Here are six alternatives worth considering

Mode's 2023 acquisition by ThoughtSpot raises real questions about where the product goes next. Here are the best alternatives for data teams that need SQL, Python, and collaborative analytics.

Most "no-code" analytics tools still need a data team to set them up. Here's what actually works for product, marketing, and RevOps teams that want real self-service.

A list reviewing 10 online reporting platforms for data analytics teams — Fabi, Looker, Power BI, Metabase, Tableau, Sigma, Zoho Analytics, Equals, Klipfolio, and Rows — with honest pros/cons, pricing, a selection framework, and a comparison table.