Back to ProjectsExploratory Analysis of Device Movement via Wi-Fi Router Data
We developed an analytics prototype for exploratory analysis of Wi-Fi router data and device movement patterns across the city — at the intersection of data analysis, urban analytics, and applied modeling.
Client
NDA
Period
2 weeks
Format
Analytics prototype
About the project
We developed an analytics prototype for exploratory analysis of Wi-Fi router data and device movement patterns across the city. The project sat at the intersection of data analysis, urban analytics, and applied modeling. The main objective was to understand, based on anonymized data, what patterns can be identified in device movements and how this data can be used for further analytical applications.
The Challenge
We needed to conduct exploratory analysis of a Wi-Fi router dataset and determine how device movements in an urban environment can be tracked. The key requirement was to quickly understand the data structure, identify significant features, detect movement patterns, and build a foundation for further route and activity interpretation.
Our Solution
- Conducted initial analysis of the Wi-Fi router dataset
- Examined record structure, temporal dependencies, and device behavioral patterns
- Identified features for interpreting movement and recurring routes
- Built analytical model for studying device distribution across time and locations
- Visualized key patterns and anomalies in the data
- Created prototype system for further work with urban telemetry
Results
- Analytics prototype for device movement research delivered in 2 weeks
- Raw Wi-Fi router data translated into a clearer analytics format
- Basic patterns identified for movement analysis and behavioral scenarios
- Project demonstrated value extraction from anonymized urban telemetry
- Case shows expertise in exploratory analytics and rapid R&D prototyping
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