Here's what analyst say about the new version
of Zoho Analytics
- All
- Case Studies
"Agents are only as reliable as the context they work from. Most companies have plenty of data, but few have encoded what their metrics mean or how the parts of their business relate to one another. By building semantic and ontology layers directly into Zoho Analytics, Zoho is giving agents that shared understanding, with governance built in from the start rather than added after deployment. Delivering it through a headless, MCP-based model means that trusted intelligence can serve agents and applications well beyond the Zoho ecosystem."
"With this release, Zoho is bringing together several elements needed for scalable, governed agentic analytics, including native semantic and ontology layers, governance and observability capabilities, and the option to deploy these agentic capabilities either embedded in applications or headless via MCP. Its stated commitment to openness and interoperability should help organizations leverage context-grounded insights."
"The new Zoho Analytics 7.0 reflects an important shift in the evolution of business intelligence by enabling direct connection between analysis and action. What makes this release so interesting is its stronger emphasis on business context, shared metric definitions, and governance alongside agents. An agent can produce and answer quickly, but making it meaningful, traceable and with the probity to act upon is another thing. Zoho seems to be addressing these key foundations for both IT, and business."
"The first wave of AI analytics made it easier to ask questions. It also exposed how inconsistent enterprise data and business definitions really are. Giving every user an AI agent won't fix that. Companies need a common understanding of the business that both people and agents can trust. The vendors that make that practical, without adding another expensive integration project, will have an advantage as analytics intelligence moves into everyday analytic applications, agentic solutions, and business operations."
"In the turbulent time of major changes caused by AI adoption, it’s important to “keep your head while all around you are losing theirs” as R. Kipling says, and make the change a natural extension of what you already have. Of course, it could only be possible if you have built the right foundation, have a clear vision of what lies ahead, and understand how to deliver the new value with minimal disruption. I believe, Zoho is doing exactly that. It’s easy to throw AI into your software products hoping it would provide some added value to your customers, but it’s way more difficult to introduce AI in a responsible way enabling organizations to govern its reasoning via Ontology, make it an integral part of business applications, and enable various forms of user interactions – conversational, visual, embedded into applications"
"Our research shows that semantic layer, onotology, and governance play crucial roles in ensuring that AI agents can effectively interpret and utilize data within business, leading to more accurate, informed, and strategic decision making. Furthermore, as AI becomes more embedded in business processes, the importance of these elements increases."
