Conversational analytics allows users to ask questions about data using natural language and receive insights via text, charts or voice.

Unlike a generic chatbot that answers procedural or knowledge questions, conversational analytics is connected to your data warehouse and interprets user intent to generate queries.

It understands business entities (e.g., customer, revenue) and metrics, often leveraging a semantic layer to map words to tables.

Chatbots can be scripted or generative and usually don’t perform deep analysis.

Conversational analytics is more specialized: it focuses on data interpretation and uses AI to create visualizations or narratives.

Many platforms combine both, offering conversational search within an analytics context.

MageMetrics’ conversational interface is triggered in the right moment—such as when a user hovers over a metric—and always references the semantic layer to ensure accuracy.