AI-Powered Business Intelligence

AI-Powered Business Intelligence

Business impact
  • -70%

    time to insight

  • +25%

    adoption of data-driven decisions

  • 60 hrs/month

    saved across teams

  • Access-controlled

    respects existing warehouse permissions

Business Challenge

Business teams had to ask analysts whenever a question fell outside a standard dashboard. The data was available, but SQL requirements and a busy analyst queue delayed answers.

  • New questions often required custom queries and chart preparation.
  • Requests competed for limited analyst time.
  • Back-and-forth clarification stretched simple analysis into days.
  • Leaders could not explore governed data independently.
AI Opportunity

The existing warehouse already held structured, governed business data. Natural-language querying could make that information easier to explore without creating another data platform or bypassing access controls.

  • Let users ask business questions in plain language.
  • Translate questions into queries against existing warehouse data.
  • Respect each user's established data permissions.
  • Show the underlying data so answers can be checked.
Solution

We added an AI-powered business intelligence layer on top of the existing warehouse. It returns charts or tables with each answer while preserving access controls and query traceability.

  • Users enter questions without writing SQL.
  • Answers are generated from governed warehouse data.
  • Common questions and queries can be reused for consistency.
  • Each result links back to its source data for verification.
FAQ
Technology Stack
  • Python

  • Natural language processing (NLP)

  • Text-to-SQL

  • Snowflake data warehouse

  • Google BigQuery

  • Role-based access control (RBAC)

  • SQL query optimization

  • AI-generated data visualizations

  • AI-powered natural language analytics

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