https://e343c64b.dataagentx.pages.dev/en/tags/agentic-analytics/Recent content in Agentic Analytics on DataAgentXHugoen-USSun, 06 Sep 2026 00:00:00 +0000https://e343c64b.dataagentx.pages.dev/en/tech/20260906-data-agent-levels/Sun, 06 Sep 2026 00:00:00 +0000https://e343c64b.dataagentx.pages.dev/en/tech/20260906-data-agent-levels/<p>One system writes SQL. Another invokes SQL and Python, observes errors, and replans. The second system has more tools, but tool count alone does not make it more autonomous. The real questions are: Who sets the goal? Who organizes the work? Who is authorized to act? Who verifies the result? Who recovers—and remains accountable—when it fails?</p> <p>Data Agent levels are therefore best understood as a transfer of responsibility, not a feature checklist. At each level, the agent inherits more operations, judgment, and risk.</p>https://e343c64b.dataagentx.pages.dev/en/tech/20260903-what-is-a-data-agent/Thu, 03 Sep 2026 00:00:00 +0000https://e343c64b.dataagentx.pages.dev/en/tech/20260903-what-is-a-data-agent/<p>“Why did conversion fall this week?”</p> <p>An NL2SQL tool can translate that sentence into a query. A data agent has a larger job. It must establish which product and funnel the question refers to, decide whether “this week” means a calendar week or a rolling seven-day window, and respect what the current user is allowed to see. It then has to find trusted data, apply the right metric definition, investigate the change, run and check its queries, and return evidence with the conclusion.</p>