Automated Sub-Panel Creation for Adaptive Device Data Monitoring
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Solution Overview
Problem
Current mobile device monitoring solutions are limited in their ability to automatically create and manage sub-panels for data collection and analysis, requiring manual user intervention and focusing on specific data types, which hinders efficient and adaptive monitoring of user device data.
Innovation Solution
A processor-based method and system that automatically receives, processes, and transmits data from user devices to create and manage sub-panels by applying data collection rules, enabling modification instructions for data collection and reporting operations, and utilizing intelligent algorithms for real-time data processing and distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual user intervention is used for panel creation and management, then system complexity is reduced, but productivity and automation extent deteriorate
Solution Approach 1:
The system enables automatic panel creation and management through processor-based automated selection of panelists based on demographic and behavioral data, eliminating the need for manual user intervention while maintaining system functionality. The automated system self-manages panel composition, data collection rules application, and sub-panel generation without human operator involvement.
Solution Approach 2:
The system dynamically adjusts panel composition and data collection parameters based on processed device data, allowing automatic adaptation to changing conditions. By changing parameters such as panelist selection criteria and data collection rules automatically, the system achieves both high productivity and controlled complexity through algorithmic parameter management.
2Measurement precision
If specific data types are focused on, then measurement precision is improved, but adaptability deteriorates
Solution Approach 1:
The system is designed to collect and process multiple types of device data including demographic information, behavioral patterns, and usage statistics through a unified platform. The processor-based system can adapt to collect various data types while maintaining precise measurement capabilities for each specific data category through dedicated processing rules and algorithms.
Solution Approach 2:
The system segments data collection into specific categories (demographic data, behavioral data, usage data) while maintaining an integrated processing framework. Each data type is collected with specialized precision through targeted measurement protocols, yet the overall system remains adaptable by processing multiple segmented data types through a unified automated panel management system.
3Productivity
If automated processor-based systems are implemented, then productivity and automation are improved, but device complexity increases
Solution Approach 1:
The system introduces a centralized processor-based platform that acts as an intermediary between data sources and analysis systems. This intermediary automatically receives device data, applies data collection rules, selects panelists, and generates reports, thereby increasing productivity while managing complexity through a single coordinating system rather than distributed complex operations.
Solution Approach 2:
The system performs preliminary automated actions including pre-selection of panelists based on demographic criteria, pre-processing of device data according to established rules, and pre-generation of analysis frameworks. By performing these actions automatically before data analysis, the system increases productivity while containing complexity through structured preliminary processing steps.
Data Source
AI summary
Systems, apparatuses and methods are disclosed for creating and managing sub-panels. Device data may be received in the system from each of a plurality of user devices, wherein the device data includes device usage data, device configuration data, demographic data and the like. Data collection rules are created or loaded into a central processing apparatus, where the device data is processed in the central processing apparatus to determine if device data related to one or more user devices complies to the data collection rules. Sub-panels may be defined in accordance with the processing, wherein the sub-panel may include one or more devices determined to be compliant with the data collection rules. Modification instructions may be generated in the central processing apparatus for the sub-panel, wherein the modification instructions are configured to be transmitted to at least some of the devices in the sub-panel, and wherein the modification instructions include data enabling each device in the sub panel to modify or enable at least one of (i) data collection operations and (ii) data reporting relating to future device data.