Technical blog

The Agentic BI gap is not in the feature list but along two axes: agent engineering maturity and data foundation readine...

The value of ChatBI is not the chat — it is closing the last mile of business intelligence. Three pillars, three obstacl...

The metrics layer is graduating from an IT governance tool into the semantic layer for enterprise intelligence. Three co...

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...