Before getting into setup or tools, it’s worth understanding how Conversational BI actually works when someone types a question and expects an answer. At a practical level, the flow is straightforward: -  A business user asks a question in plain language. - That question is interpreted by a conversational layer. - A structured query is generated against Looker. - Looker runs the query using its existing semantic model. - The result is shaped into a readable response and sent

Natural language query in Looker  allows users to ask questions about business data using plain language and receive answers based on Looker’s existing data models. Behind the scenes, Looker translates those questions into queries that follow predefined business logic. NLQ in Looker runs only on curated Explores, not directly on raw tables. That means every answer reflects approved definitions, joins, and calculations. In practice, this looks like: Asking questions without se

Conversational analytics is a way for users to interact with data using natural language instead of dashboards or reports. Rather than clicking through filters, users can ask questions and receive direct answers from business data. At its core, conversational analytics focuses on making analytics easier to use for everyday business users. It removes the need for technical skills while still relying on trusted data models. For example, a user can ask, “What were total sales la

Conversational analytics is changing how people work with data. Instead of opening dashboards, applying filters, and double-checking definitions, teams can ask a question in natural language and get an answer that makes sense in context. This shift matters because it fits how decisions actually happen. Across the BI landscape, many platforms now support some form of natural language interaction. What separates them is how reliably those conversations reflect the business logi

Conversational analytics in Looker has become a natural extension of how business teams interact with data. Many employees still rely on scheduled dashboards or analysts to answer basic questions, and that slows down decisions. Looker’s conversational layer removes this dependency by allowing users to type questions in plain language and receive governed results directly from the LookML semantic model. There are no shortcuts or new pipelines to maintain. The same data struc

Businesses today have access to more data than ever, creating new opportunities for faster and smarter decisions. As teams grow and operate at greater scale, the way they interact with data becomes just as important as the data itself. Conversational analytics in Looker introduces a more natural and intuitive way to work with insights. Instead of navigating dashboards or preparing reports, business users can ask questions in plain language and receive accurate, governed answ