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This article describes how BigQuery Graph and Kineviz GraphXR address the challenge of analyzing unstructured enterprise data by creating knowledge graphs from documents like SEC filings.
•Over 80% of enterprise data remains unstructured in PDFs, emails, and reports, making it difficult to extract business insights at scale
•BigQuery's integrated pipeline processes raw documents in Cloud Storage, uses Gemini 3 Pro for AI-powered extraction, and creates traversable graphs without separate databases or complex ETL
•The evidence-first approach preserves source traceability, with every extracted element linked back to the original document location
•Applied to Fortune 500 SEC 10-K filings (2020-2024), the pipeline extracted 87,000 entities and consolidated 20,000+ competitor mentions into 8,100 distinct competitors
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Kineviz GraphXR enables analysts to visually explore relationships using natural language queries and dynamic dashboards without writing code
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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