Glossary
Data Warehouse (DWH)
Central repository for structured data. Despite decades of DWH investment, most data remains dark.
Definition
A Data Warehouse (DWH) is a central repository for structured data-typically used for reporting, analytics, and business intelligence. Organizations have invested decades in DWH infrastructure. Yet despite this investment, most data in the warehouse remains dark-collected, stored, but never analyzed for decisions. Sentient OS activates DWH data without requiring migration. The platform integrates via SQL, APIs, Kafka, S3-consuming data where it lives. The decision layer transforms warehouse data into real-time intelligence. The problem was never storage; it was activation. Sentient activates what the DWH holds.
Why It Matters
DWHs hold dark data. Sentient activates it. No migration-integrate and transform.
Related Pages
Related Terms
Dark Data
Data that is collected and stored but never used for decisions - often 60-90% of what organizations capture. Sentient OS activates this untapped asset.
Business Intelligence (BI)
Traditional analytics tools. Sentient argues BI is fundamentally retrospective-'autopsy reports.'
Customer Data Platform (CDP)
Platform unifying customer data. Sentient goes beyond CDPs by adding a decision layer, not just data aggregation.
Signal Capture
Total holistic information capture at the protocol level. Multimodal: text, video, audio, visual semantics.
KPI Aggregation
Modular linking of semantic metrics into business-specific KPIs with contextual weighting. Layer 3 of the architecture.
Explore the Full Platform
See how these concepts come to life inside Sentient OS.