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Business users should not have to wait in a reporting queue every time they need an answer from their data. Conversational BI on BigQuery allows users to ask business questions in plain language and receive trustworthy, governed answers in the same interaction. Instead of moving through analyst backlogs, dashboard requests, and lengthy reporting cycles, a question can be translated into SQL, executed on BigQuery, and returned as a useful chart, table, or interactive widget. In this video, Wohlig explains how conversational analytics can reduce the distance between a business question, the underlying query, and the final insight—without creating an uncontrolled new route into enterprise data. How conversational BI on BigQuery works: • A business user asks a question in natural language • The system interprets the request and understands the available data schema • The question is translated into an executable SQL query • The query runs directly against governed BigQuery datasets • Results are returned as charts, detailed tables, filters, or live widgets • Follow-up questions retain context within the same conversation • Existing user identity and IAM permissions remain enforced • Column-level security controls what each user is allowed to access • Audit logs record who asked, what SQL ran, which data was accessed, and what answer was returned • A layered data model keeps business definitions consistent across every response The conversational assistant should not become a new door into enterprise data. It should operate through the same identity, permission, security, and governance controls already used across the organisation. Reliable answers also depend on reliable data foundations. A structured model spanning raw data, staging layers, curated marts, and clearly defined business metrics ensures that users receive fast answers based on consistent definitions. Wohlig helps organisations build governed conversational BI experiences on BigQuery—giving business teams faster access to insight while preserving security, traceability, and trust. Technology: Google Cloud · BigQuery · IAM · SQL · Audit Logging · Conversational BI ⏱ Chapters 0:00 Talk to Your Data 0:14 Why simple questions become report queues 0:32 Turning plain language into a BigQuery job 0:47 Building a governed BigQuery connector 1:05 Returning answers as charts, tables, and widgets 1:21 Governance as a core product feature 1:41 Building on a trusted, layered data model 2:02 Build conversational BI with Wohlig 📧 [email protected] 🌐 www.wohlig.com Wohlig offices: Mumbai · Bangalore · London #ConversationalBI #BigQuery #BusinessIntelligence #DataAnalytics #GoogleCloud #GenerativeAI #DataGovernance #EnterpriseAI #SQL #Wohlig

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