Interactive Analytics System for IT Network Data Management
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Solution Overview
Problem
The increasing volume of data in distributed computing environments, particularly in IT networks, poses challenges in analysis, interaction, and reporting, as existing systems struggle to efficiently manage and provide insights from vast amounts of data.
Innovation Solution
The development of customized analytics and reporting systems that enable interactive data analysis, forecasting, and complex reporting capabilities through a graphical user interface (GUI) in a distributed computing framework, allowing for dynamic widget placement and sizing, advanced filtering, and integration of external data sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data collection capabilities are expanded in distributed computing environments, then the quantity of available data increases, but the difficulty of analyzing and reporting the data increases
Solution Approach 1:
The patent segments the data analysis system into multiple independent components including data collection modules, data storage modules, data analysis modules, and reporting modules. Each component handles specific tasks independently, allowing the system to manage large volumes of data without becoming unmanageably complex. The segmentation enables modular architecture where each module can be optimized separately.
Solution Approach 2:
The patent introduces intermediary components such as data warehouses, data marts, and intermediate storage layers that buffer between data collection and analysis processes. These intermediaries organize and pre-process data before it reaches analysis modules, reducing the complexity burden on final reporting systems while enabling handling of vast data quantities.
2Loss of information
If more data is collected and stored with metadata, then the information availability improves, but the difficulty of interacting with and analyzing the data increases
Solution Approach 1:
The patent implements self-service data exploration capabilities where users can independently query, filter, and analyze data through intuitive interfaces without requiring complex preprocessing. The system automatically handles data organization, indexing, and retrieval operations, allowing users to interact with vast datasets through simple operations while maintaining high information availability.
Solution Approach 2:
The patent replaces manual data manipulation processes with automated computational systems including query processors, automated analysis algorithms, and intelligent retrieval systems. These automated mechanisms handle the complexity of interacting with large datasets containing metadata, freeing users from manual data handling while preserving comprehensive information access.
3Adaptability or versatility
If customized analytics and interactive capabilities are added, then the reporting capability improves, but the system complexity increases
Solution Approach 1:
The patent implements dynamic reporting capabilities where the system can adapt to different user needs, data types, and analysis requirements in real-time. Reporting templates, visualization methods, and analysis parameters can be dynamically adjusted without requiring fundamental system changes, enabling high versatility while managing complexity through flexible configuration rather than structural complexity.
Solution Approach 2:
The patent creates universal reporting and analysis components that can handle multiple data types, analysis methods, and output formats through a single integrated system. These multi-functional modules reduce overall system complexity by consolidating diverse capabilities into unified interfaces and processing pipelines, allowing customized analytics without proportionally increasing system complexity.
Data Source
AI summary
Systems and methods for generating and rendering interactive analysis are provided. The interactive analysis includes an incident map and heat map that are dynamically changeable based upon selectable incident attributes, filters, or both.