Analyze people's mobility patterns within a specific city or between cities.
Enriched Mobile Location Data
Coverage
History
Volume
Common use cases
Other companies are using this dataset for:
Urban mobility analysis
Location planning
Geomarketing
Mobile analytics
Assess people’s mobility patterns within or between cities.
Background
We evaluate people’s mobility patterns by analyzing anonymized Big Data from mobile devices and combining it with location-specific social demographic characteristics.
Featured attributes of the data
Our clients can now easily identify the routes people use most, including their income bracket, when traveling to work or other destinations.
Analyze population mobility patterns, including frequency, days of the week, and times of the day. Also, understand users’ places of residence and work distances.
Note: We use anonymized and aggregated data to protect user privacy and ensure compliance when delivering suitable geohashes.
Methodology
- History: 3 years of historical data.
- Frecuency: Quarterly, Yearly
- Volume: five million devices.
- Data Delivery Methods: S3 Bucket, Email, Rest API, Feed API.
- Delivery Formats: JSON, CSV, XLX, XLS.
- Geographic Coverage: USA, Mexico, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama.
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Why PREDIK Data-Driven?
We have more than 14 years of experience developing modern data mining techniques and generating data-driven solutions for corporations worldwide.
Leading organizations trust PREDIK’s data intelligence
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