IT Portfolio Knowledge Management System for Application Configuration
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Solution Overview
Problem
Business enterprises face challenges in integrating and managing diverse applications and services due to inconsistent interfaces, fragmented data sources, and inflexible architectures, which complicates portfolio management and increases costs and risks.
Innovation Solution
The Information Technology Portfolio Knowledge Management (ITPKM) system generates an Application Management View (AMV) that visualizes and manages configuration items, enabling users to interact with and manage applications, services, and datasets across their lifecycle, ensuring consistency and accuracy, and automatically updates relationships and dependencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple diverse applications and services are integrated to meet complex business requirements, then functionality and versatility improve, but system complexity and integration difficulty increase
Solution Approach 1:
The patent introduces a portfolio management system as an intermediary layer between diverse applications and business users. This system provides standardized interfaces, centralized configuration management, and automated relationship tracking, mediating the complexity of integrating multiple applications while maintaining business functionality.
Solution Approach 2:
The portfolio management system serves multiple functions simultaneously: it visualizes application relationships, manages configurations, tracks dependencies, and provides decision support. This multi-functional approach consolidates various management tasks into a single universal platform, reducing overall system complexity.
2Measurement precision
If comprehensive portfolio management and evaluation are implemented, then decision quality improves, but time consumption and resource requirements increase
Solution Approach 1:
The system performs preliminary actions by automatically discovering and mapping application relationships, pre-calculating dependencies, and maintaining up-to-date portfolio visualizations. This preliminary processing enables rapid evaluation and decision-making without requiring extensive manual analysis at the time of decision.
Solution Approach 2:
The portfolio management system performs self-service through automated relationship discovery, configuration tracking, and dependency analysis. These automated processes continuously maintain accurate portfolio information without requiring constant manual intervention, reducing time consumption while maintaining evaluation accuracy.
3Adaptability or versatility
If manual integration and management of applications are performed, then flexibility and customization improve, but operational efficiency and productivity decrease
Solution Approach 1:
The system implements self-service through automated relationship discovery, configuration management, and dependency tracking. These automated processes handle routine integration and management tasks, significantly improving operational efficiency while preserving customization capabilities through configurable parameters and adaptable interfaces.
Solution Approach 2:
The portfolio management system utilizes parameter changes to maintain flexibility. By allowing configuration of various parameters (application attributes, relationship types, management policies), the system adapts to different business requirements while automated processes handle the operational overhead, balancing customization with efficiency.
Data Source
AI summary
Aspects of the present disclosure involve methods and systems for managing various applications, services, configuration data, business data and the like corresponding to a business enterprise. An information technology portfolio knowledge and management system may generate an application management view configured to enable users to automatically manage the various applications, services, configuration data, and business data.