Traditional BI often requires users to learn SQL or rely on data specialists, which limits adoption.

By embedding analytics in familiar workflows with intuitive interfaces, non‑technical users can ask natural language questions or interact with pre‑built visualizations.

A Harvard Business Review report cited by TechTarget noted that 87 % of executives believe empowering front‑line workers with data increases organizational success, yet only 20 % provide the necessary tools.

Embedded analytics bridges this gap, bringing real‑time metrics and recommended actions to the point of need. Self‑service reduces dependencies on data teams and accelerates decision‑making; 80 % of application developers surveyed observed faster time‑to‑insight with embedded analytics.

MageMetrics combines a semantic layer with natural language querying so users can get answers without writing SQL.