GenAI Enabled BI Chatbot for Unified Data Querying
Background
Business users often rely on analysts to interpret dashboards or write SQL queries, slowing down decision-making and limiting adoption of self-service analytics.
Problem
Complex relational data structures required technical skill to query. Users were unable to ask simple business questions without navigating multiple dashboards or requesting help from analytics teams.
What We Achieved
We built a GenAI-powered data assistant that lets users ask questions in plain language—automatically generating secure, accurate SQL queries in the background. The assistant blends insight from documents, dashboards, and semantic metadata to give users a complete answer, all within their existing BI tools.
Impact
Instant Querying
Users get answers without writing SQL
Data Democratization
Accessible insights across all business units
Analyst Efficiency
Reduced dependency for routine reporting
Scalable Framework
Reusable GenBI setup ready for enterprise expansion
A unified, conversational data experience that removes technical barriers and accelerates insight discovery across the organization.
Who Will Benefit
Business Users
Executives
Product Owners
Finance Teams
Analysts Seeking to Offload Routine Query Support
Bring insights to everyone by unlocking natural language access to your data.
Automated BI Storytelling for Faster, Clearer Decision-Making
Background
Dashboards offer depth, but not always clarity. Business users often need help interpreting why a trend is rising or falling, what’s driving performance, and where risks are emerging.
Problem
Teams were spending valuable time digging into dashboards to explain trends, create narratives, or prepare updates for leadership. Insight consumption was slow and heavily analyst-dependent.
What We Achieved
We integrated LLM-generated storytelling within BI workflows—automatically summarizing trends, identifying drivers and draggers, and highlighting what matters most. Executives receive insights with explanation, not just numbers—embedded directly into their dashboards.