Sovereign Intelligence | Passive Sensor Data | Integration with Mobile Location Data

Aurora:GeoStudio® stands out in geospatial analytics by effectively utilizing passive sensor data to provide detailed mobile location metadata. This passive data collection method captures a wealth of information about mobile devices without requiring active user engagement, offering an extensive overview of device interactions and movements. Here’s a breakdown of the specific data collected and how it enhances various applications: Data Collected by Passive Sensors: 1. Identification and Metadata: • Wireless ID: A unique detection ID associated with each data value. • Device ID: The name of the sensor collecting the data. • Sensor ID: An ID generated for each sensor upon creation. • Department ID: An ID generated for each department upon creation. 2. Temporal Data: • Date and Time: The precise date and time when the detection occurred. 3. Detection Details: • Value: Sensitive data or data value collected. • Signal Type: Type of detection signal (e.g., WiFi, BLE, 4G LTE). • Brand and Model: The brand (e.g., Samsung, Apple) and model (e.g., Samsung A22) of the detected device. • Status: Indicates if the detection occurred within the sensor’s working time (“Was Working” or “Was Not Working”). • Provider: The network provider associated with the detection (e.g., Vodafone), represented by the MNC. • Country: The country where the detection occurred, represented by the MCC. • Role Color ID: Assigned role color IDs for devices (e.g., 6 for unauthorized, 1 for trusted coworkers). • Type: Type of detection data (e.g., TMSI, IMSI, MAC). • Trusted: Indicates if the detection is trusted (default is “No” for new detections). • Signal Strength: Indicates the range within which the device was detected. • Company: The company name determined based on the sensitive data. 4. Database and Location Information: • Created At and Updated At: Timestamps for record creation and updates in the database. • Location Details: Name, city, state, country, street, and zip code of the location tagged with the sensor. • Coordinates: Latitude and longitude of the tagged location. Applications: 1. Customer Behavior Analysis: • By analyzing foot traffic data, businesses can understand customer behavior, including visit frequency, duration, and movement paths. This information is crucial for tailoring services and improving customer satisfaction. 2. Store Layout Optimization: • Passive sensor data helps identify high-traffic areas and bottlenecks within stores, allowing businesses to optimize product placement and store layouts to enhance customer flow and maximize sales opportunities. 3. Marketing Strategy Enhancement: • Businesses can refine their marketing strategies using insights from peak visiting times and customer demographics, enabling targeted campaigns that reach the right audience at optimal times. 4. Operational Efficiency: • Understanding foot traffic patterns allows businesses to optimize staffing levels, manage inventory more effectively, and improve overall operational efficiency. Aligning resources with actual customer demand enhances service delivery and reduces costs. 5. Urban Planning and Public Spaces: • Urban planners can use foot traffic data to design public areas that accommodate pedestrian flow efficiently and ensure that amenities are accessible and well-placed. Aurora:GeoStudio®’s integration of passive sensor data provides a comprehensive view of mobile location metadata, offering detailed insights into device movements, customer behavior, and spatial dynamics. The extensive data collected, including identification, temporal, detection, and location information, supports a wide range of applications from retail optimization to urban planning. By leveraging this data, Aurora:GeoStudio® enables businesses and planners to make informed decisions, optimize operations, and enhance customer experiences, thereby setting a new standard in geospatial analytics and location-based services.