Technical blog

Data Q&A, modeling, and visualization creation are not separate options. They are three coordinated capabilities in one...

HENGSHI's reusable industry implementation methodology combines a unified analytics foundation, industry-specific config...

A practical look at how standardized execution, reviewability, and security turn AI agents from product add-ons into gov...

The 2026 Top 5 complex attribution analytics platforms, compared on root-cause depth, speed, lineage-based explainabilit...

The 2026 Top 5 no-code data analytics platforms, assessed on analytics, AI agent building, business self-service, integr...

Semantic layers are becoming the data foundation for the AI era. This guide compares five enterprise platforms and their...

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...