The concept of "Answer Lineage" is proposed as an extension to traditional data lineage for enterprise data agents. Unlike data lineage, which tracks the origin of datasets, Answer Lineage focuses on the entire process from a natural-language question to its final business answer. This includes capturing intent resolution, semantic object selection, relationship paths, query plans, and SQL execution. By creating lineage objects at the start of a request and enriching them with events throughout the pipeline, systems can provide detailed provenance for answers, aiding in debugging and auditability when business users question numerical outputs. AI
IMPACT Enhances auditability and debugging for LLM-powered data agents, improving trust in their outputs for business users.
RANK_REASON The cluster describes a new concept and proposed methodology for tracking data agent outputs, rather than a product release or research paper.
- Answer Lineage
- data lineage
- Erp
- Etl
- finance
- dashboard
- Recognized Revenue
- Semantic modelling for discrete event simulation
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