Enterprise research
One knowledge layer for data and reports
We designed a knowledge layer that joins structured research data with reports and notes, and keeps source attribution on every synthesized answer.
Evidence at a glance
- Evidence type
- System design
- Organization scope
- A major CPG company
- Documented boundary and output
- This case covers the design phase: distinct source types, cross-source joins, and preserved attribution.
The situation
Structured study data and unstructured reports could not be explored together in one governed view that kept source attribution.
The design keeps source types distinct on purpose. Structured study tables, PDF reports, tasting notes, and external literature stay identifiable, while the layer still correlates them and returns source references with every answer.
The approach
Keep source types distinct
Structured study data and unstructured documents keep their source identity inside the knowledge layer.
Join across sources
Numerical research data connects to relevant report text and supporting literature.
Keep attribution
Responses keep source references so a researcher can check the evidence behind the synthesis.
System or method for this case
What we delivered
- Governed layer spanning structured and unstructured research sources
- Cross-source correlation without collapsing source identity
- Answer path that preserves attribution
- Inspection route back to the underlying evidence
Technical pieces
What the design supports
The designed layer joins structured research data with reports and notes, and keeps source attribution on every synthesized answer.
Discuss a comparable system
Bring the research question, data boundary, and decision the system needs to support.
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