ManageEngine Analytics Plus vs Hex
Side-by-side trajectory, velocity, and editorial themes.
Zoho's BI tool is quietly threading Zia GenAI into every dashboard
ManageEngine Analytics Plus ships a steady stream of incremental BI depth — custom visualizations, geo projections, drill-through, shared databridges — while pushing its Zia GenAI assistant deeper into the product. The most notable recent move is bringing Zia Insights, previously scoped to single reports, up to the whole-dashboard level. It reads as a mature analytics platform maintaining breadth while making AI analysis its differentiator.
The direction is embedded AI as the default lens over data: Zia is expanding from answering questions (Ask Zia action skills) to surfacing insights across entire dashboards. Alongside that, the product keeps adding governance and extensibility — custom JS visualizations, domain allow-lists in Code Studio, shared databridges — aimed at larger, controlled deployments.
Expect Zia to keep moving from insight-surfacing toward action, building on the export/share action skills already shipped; the next likely step is more agentic Zia workflows operating across dashboards rather than single reports.
Hex is remaking its notebook into an agent that both uses and plugs into MCP
Hex is converting its analytics notebook into an AI agent platform. It now runs as an MCP client, is invocable from Codex, and ships generative data apps built from prompts, while keeping its model roster current with Kimi K2.7 and Fable 5 and giving admins default-model and branding controls. Integration and governance work — a Figma connector, AWS IAM-role support, signed embedding — rounds out the core.
The arc points at Hex as connective agent infrastructure: consuming external context and tools via MCP, distributing itself into other agent surfaces like Codex, and letting analysts assemble apps and dashboards from prompts. Expect the agent, rather than the notebook grid, to become the primary interface, with model choice and governance layered on top.
Likely next steps deepen the agent's tool-use over MCP connections and push generative apps further toward production embedding and governance controls.
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