Unified GUI for KPI Configuration in Network Analytics
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Solution Overview
Problem
Large managed networks face challenges in designing and implementing performance analytics systems that provide versatility and flexibility to end users without overwhelming them with complexity, due to the large breadth and depth of data and complex interrelationships between performance data and program components.
Innovation Solution
A performance analytics system with a unified graphical user interface (GUI) that includes a tabbed interface with views for data source configuration, breakdown configuration, data collection job setup, and impact analysis, allowing users to interactively manage and visualize key performance indicators (KPIs) in a streamlined manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a performance analytics system provides versatility and flexibility to end users, then user adaptability is improved, but device complexity increases due to large breadth and depth of data and complex interrelationships
Solution Approach 1:
The patent divides the complex KPI configuration system into separate modular components: data source configuration, breakdown configuration, data collection job setup, and impact analysis views. Each module handles specific aspects of KPI management independently, allowing users to interact with simplified interfaces while the system manages complex interrelationships between these modules in the background.
Solution Approach 2:
The unified GUI acts as an intermediary layer between users and the complex underlying system. It presents simplified, organized interfaces for configuring KPIs while the system automatically manages the complex data relationships, dependencies, and interconnections between different configuration elements, shielding users from complexity.
2Measurement precision
If the system collects and manages large amounts of performance data, then measurement precision is improved, but device complexity increases due to data breadth and depth
Solution Approach 1:
The patent segments data management into distinct functional areas: data source configuration for defining data origins, breakdown configuration for categorizing data, data collection jobs for scheduling and aggregation, and impact analysis for understanding data relationships. This segmentation allows precise measurement of individual KPIs while organizing large datasets into manageable, structured components.
3Adaptability or versatility
If the system provides comprehensive KPI configuration capabilities, then adaptability is improved, but ease of operation deteriorates due to complex interrelationships
Solution Approach 1:
The patent segments the KPI configuration process into discrete, manageable views: data source view for selecting data origins, breakdown view for defining categories, data collection view for setting schedules and frequencies, and impact analysis view for understanding dependencies. This segmentation transforms complex configuration into a series of simple, intuitive steps while maintaining comprehensive capabilities.
Solution Approach 2:
The unified GUI provides a single multi-functional interface that handles all KPI configuration tasks through consistent interaction patterns. Users can configure data sources, breakdowns, collection jobs, and analyze impacts all through the same organized interface, making the system both highly adaptable and easy to operate through standardized interactions.
Data Source
AI summary
A system and method is disclosed for configuring a performance analytics (PA) software application operational for analysis of performance data of a managed network. The system may include a PA database containing data for generating a unified graphical user interface (GUI) for consolidating configuration of key performance indicators (KPIs) of the managed network, and one or more server devices configured to receive, from a client device, a request to view information representative of a particular KPI. Based on the request, the server devices may obtain information regarding the particular KPI from the PA database and then transmit, to the client device, a representation of the unified GUI. The unified GUI may include a tabbed interface containing views corresponding to groups of related attributes of the particular KPI, the views including: (i) a data source view, (ii) a breakdown view, (iii) a data collection view, and (iv) an impact analysis view.