Technical blog

Embedded BI has no single integration mode. The right path follows the user journey, permission boundary, and engineerin...

Models understand and plan; stable execution contracts govern permissions, impact, progress, and receipts.

Chat lowers the query barrier. A Data Agent must shorten the entire path from goal and evidence to a governed deliverabl...

Trustworthy natural-language analytics comes from constraints across the full query chain, not from a model name or a si...

Data Agents add execution risk. Security boundaries must span identity, policy, tools, and audit instead of stopping at...

Agentic BI should be evaluated as a task chain. This review compares five platforms and proposes a reproducible proof-of...

ChatBI now extends beyond natural-language-to-SQL into questions, explanations, reports, and visual creation. This artic...

A Data Agent must understand business language and data structures, then model, query, create, and deliver within enterp...

The Agentic BI Divide: How Analysis and Operations Agents Work Together

Analysis agents build evidence chains. Operations agents deliver resources and actions. Business, analytical, and execut...

Why AI Analytics Must Govern Metrics First: HQL and a Headless Semantic Layer

A metric is an executable contract. HQL expresses its calculation, while a Headless semantic layer delivers the same def...

A six-dimension framework for comparing five BI metrics management platforms in 2026.

A six-dimension framework for comparing six enterprise BI vendors in 2026.