Cloud Office Site Recommendations Using Employee IP Geo-Location
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Solution Overview
Problem
Organizations face challenges in optimizing operational efficiency and reducing costs by understanding their infrastructure and employee distribution for effective office site location management, as existing systems lack actionable insights and efficient cloud-based solutions for determining and recommending optimal office locations.
Innovation Solution
A cloud-based system processes data from employees to infer, recommend, and confirm office site locations using techniques such as false positive mitigation, IP address analysis, and user home IP addresses to generate accurate geo-locations, providing recommendations for office site updates and groupings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cloud-based systems are used to collect and process employee data for location determination, then actionable insights and operational efficiency are improved, but data privacy concerns and system complexity increase
Solution Approach 1:
The system segments data processing into distinct modules: data collection from cloud-based systems, data processing and analysis, location determination, and insight generation. This modular approach reduces overall system complexity by allowing each component to be developed, tested, and maintained independently while working together to achieve operational efficiency improvements.
Solution Approach 2:
The patent introduces an intermediary processing layer that sits between raw employee data from cloud systems and the final location determination outputs. This intermediary layer handles data cleaning, validation, and preliminary analysis, shielding the location determination system from data quality issues and reducing the complexity of direct data processing.
2Measurement precision
If IP address analysis and false positive mitigation techniques are applied to determine office locations, then location accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-establishing mitigation techniques and validation rules for false positives before actual location determination occurs. Common false positive scenarios are pre-identified and handled through predetermined logic, reducing the need for complex real-time analysis and minimizing processing time while maintaining high location accuracy.
Solution Approach 2:
Instead of applying all possible verification techniques to every IP address, the system applies partial action by using a tiered approach: basic IP validation is applied universally, while more intensive false positive mitigation techniques are applied only when needed based on preliminary indicators, optimizing the balance between location accuracy and processing time.
3Reliability
If multiple false positive mitigation techniques are implemented to filter contender IP addresses, then location reliability is improved, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent merges multiple false positive mitigation techniques into a unified processing pipeline where different validation and filtering operations are combined in a coordinated sequence. By integrating these techniques into a single cohesive system rather than separate independent modules, the overall implementation complexity is reduced while maintaining the reliability benefits of multiple verification approaches.
Data Source
AI summary
Systems and methods for utilizing cloud-based data for determining and recommending organization office site locations include obtaining data from a cloud-based system associated with employees of an organization, wherein the cloud-based system includes a plurality of organizations with employees each assigned thereto; processing the data associated with the organization to determine a plurality of office site locations of the organization; and displaying the plurality of office site locations of the organization via a User Interface (UI) based on the processing.