Electronic Device Status Tracking via ERP, UEM, and MDM Data
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Solution Overview
Problem
Companies face challenges in efficiently tracking and managing the status and location of thousands of electronic devices, including determining which employee has each device, whether it is in use, being repaired, or at the end of its life, due to the difficulty in obtaining accurate and timely information from employees and external sources.
Innovation Solution
A system and method that uses computer processors to automatically track the status of multiple electronic devices by accessing external information from ERP, UEM, and MDM systems, determining status changes, and updating a device tracking database, while preventing prohibited changes and generating alerts for unusual ones, to provide up-to-date status information to clients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If employees are requested to provide information regarding device use, then device status information can be obtained, but employee productivity is reduced and results are limited
Solution Approach 1:
The system enables self-service by automatically collecting device status information from multiple external sources (ERP, UEM, MDM systems) without requiring employee intervention. The computer processor autonomously accesses, processes, and updates device status data, eliminating the need for employees to manually report device information while maintaining high productivity.
2Ease of manufacture
If manual tracking methods are used for device locations and statuses, then implementation is simple, but tracking accuracy and timeliness deteriorate
Solution Approach 1:
The system introduces an intermediary computer processor that acts as a mediator between multiple external information sources (ERP, UEM, MDM systems) and the device tracking database. This intermediary automatically accesses, processes, and reconciles data from various sources, ensuring high tracking accuracy and timeliness while maintaining implementation simplicity through standardized integration interfaces.
3Loss of information
If comprehensive device status monitoring is implemented for thousands of devices, then decision-making information is improved, but system complexity increases
Solution Approach 1:
The system achieves universality by designing a multi-functional computer processor that can simultaneously access and process information from multiple different external sources (ERP for inventory, UEM for user assignments, MDM for device management). This single processor handles diverse data types and formats from various sources, providing comprehensive device status monitoring for thousands of devices while minimizing system complexity through consolidated processing architecture.
Data Source
AI summary
An example method of tracking multiple electronic devices is described herein that can include accessing first information regarding the multiple electronic devices with the first information including a connection state for a first plurality of electronic devices of the multiple electronic devices representative of a most recent timestamp that each of the first plurality of electronic devices was active and concurrently determining a first status for each applicable electronic device of the multiple electronic devices dependent upon the first information. The method can further include assigning the first status as a current status for each of the multiple devices in a device tracking database, accessing second information regarding the multiple electronic devices with the second information including the connection state for a second plurality of electronic devices of the multiple electronic devices, and concurrently determining a second status for each of the multiple electronic devices dependent upon the second information.


