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SAMPLE Comprehensive Location & POI Dataset APAC – GPS, IP & Device Signals (1st Party Data ...

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Databricks2025-10-31 收录
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https://marketplace.databricks.com/details/30f13eac-f031-4510-be19-66070dea455c/AI-Keyboard_SAMPLE-Comprehensive-Location-&-POI-Dataset-APAC-–-GPS,-IP-&-Device-Signals-(1st-Party-Data-
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Our Location and POI Intelligence Dataset provides high-precision GPS and IP-based geospatial data across APAC and global markets, powered by AI-modelled, OS-level keyboard applications. As one of the largest consented first-party data providers, we are uniquely positioned to deliver real-time, privacy-compliant mobility insights directly from user devices. With our applications active ~170 times per day per user, we achieve a minimum of 10 high-quality location updates daily, ensuring continuous and granular coverage across geographies. This omnipresence at the operating system level enables consistent, first-party collection of consented location and POI intelligence unmatched in scale or precision. Each record in the dataset includes timestamped, device-linked location attributes that allow businesses to analyze mobility, behavior, and real-world presence — while maintaining user anonymity through hashed identifiers. 📊 Key Data Highlights • Coverage: APAC and global datasets with GPS & IP-based location sources • Frequency: Minimum 10 location updates per day per user (~120 app sessions/day) • Precision: Location accuracy classification based on GPS radius • Privacy: 100% first-party consented and anonymized user-level data 📍Use Cases • Mobility & POI Analytics: Map user journeys, dwell patterns, and high-traffic zones. • Retail & OOH Optimization: Evaluate site performance, catchment areas, and footfall insights. • Ad-Tech & Mar-Tech Targeting: Enable location-based audience segmentation and targeting. • Telecom & Fintech Intelligence: Support fraud prevention, location verification, and user profiling. • Geospatial & Urban Planning: Power infrastructure, transport, and real-estate analytics with real mobility data.
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