### 1.2 Key Data Assets | Table | Role | Rows | % of Total | Size | |-------|------|-----:|----------:|-----:| | polling_on_ai_usage_jul_2026 | dimension | 105 | 100.0% | 0.2 MB | The **polling_on_ai_usage_jul_2026** table represents the entirety of this dataset, capturing survey responses about artificial intelligence usage patterns as of July 2026. This single dimension table holds all 105 records and serves as a snapshot of public or organizational sentiment toward AI adoption, preferences, or concerns at a specific point in time. ### 1.1 Business Data Landscape This dataset captures polling data focused on artificial intelligence usage, representing a discrete survey or research initiative conducted in July 2026. The **polling_on_ai_usage_jul_2026** table functions as a self-contained dimension, storing respondent-level or aggregated survey results without dependencies on external reference tables. With 105 rows and 100% completeness, the data reflects a bounded research effort—likely a single wave of polling designed to measure attitudes, behaviors, or demographic patterns related to AI technology. The structure suggests this is a standalone analytical asset rather than part of an ongoing operational system. ### 1.3 Data Integration Posture This dataset operates as an isolated analytical artifact with zero inter-table relationships, which is appropriate for its role as a time-stamped polling snapshot. The absence of joins reflects the self-contained nature of survey data: all context—demographics, responses, and metadata—resides within the single table. For cross-functional analytics, this posture means insights are limited to what the 105 records reveal internally; enrichment opportunities lie in appending external benchmarks (prior polling waves, industry standards, demographic census data) or linking respondent segments to CRM or behavioral datasets if privacy and consent frameworks permit. The 100% referential integrity score confirms internal consistency, but strategic value will grow through deliberate schema evolution that connects this July 2026 baseline to longitudinal tracking or operational decision systems.