Systematic Monitoring provides entity-centric event monitoring workflows that deploy production-ready surveillance for any theme or event across named entities. Using Bigdata.com’s Search API and research tools, these workflows transform entity-specific news into structured event intelligence, focusing on companies and people to produce dated outputs for monitoring and analysis.
Systematic Monitoring turns raw news text into event timelines and structured datasets by combining:
Entity-Centric Retrieval: Searches over configurable time windows and sources
LLM-Powered Event Detection and Feature Extraction: Identify events, detect roles, then extract structured attributes with high precision and include qualifying information from the text
Automated Timeline and Report Generation: Consistent, dated outputs with supporting quotes
Our Systematic Monitoring implementations demonstrate real-world applications across governance and credit domains:
Board Management Monitoring: Track exposure of specific executives and directors, compare search modes, and analyze temporal patterns and source diversity
Credit Ratings Monitor: Detect rating actions, outlooks, instruments, forward guidance, and key drivers; generate timelines and visual summaries
Each use case provides complete implementation examples, from initial API configuration through execution and export, with focus on entity-centric monitoring requirements.
Pilot Implementation: Run a scoped pilot over a date range and validate settings
Systematic Monitoring provides the foundation for scalable, entity-focused event surveillance that integrates into governance, risk, and research workflows.