Capability Scoring for Enterprise Network Health
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Solution Overview
Problem
Enterprises face difficulties in managing and improving their complex capabilities, such as 'sales' and 'product' capabilities, due to challenges in determining which people, processes, and technologies to enhance for better performance within their networks.
Innovation Solution
A method is introduced that involves receiving hierarchy data and application data from a management, instrumentation, and discovery (MID) server to determine capability scores, indicating the health metrics of capabilities within a customer network, and providing technology risk assessments, enabling capability-based planning and recommendations for improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If enterprises support increasingly large number of complex capabilities, then capability functionality is improved, but management difficulty increases
Solution Approach 1:
The patent segments complex enterprise capabilities into hierarchical components (parent capabilities and sub-capabilities) to make them more manageable. Each capability is broken down into discrete scoreable elements, allowing systematic assessment and improvement planning without being overwhelmed by the overall complexity.
Solution Approach 2:
The patent introduces capability scores as an intermediary metric that bridges the gap between complex capability structures and simple management decisions. These scores provide a quantitative mediator that translates complex multi-factor capability assessments into actionable insights for prioritization and resource allocation.
2Measurement precision
If capability hierarchy is analyzed in detail, then measurement precision is improved, but calculation complexity increases
Solution Approach 1:
The patent implements a nested capability scoring structure where sub-capability scores are embedded within parent capability calculations. The parent capability score aggregates and weights its sub-capability scores, creating a hierarchical nested calculation system that maintains precision while organizing complexity in a manageable structure.
Solution Approach 2:
The patent transforms complex qualitative capability assessments into quantitative parameter-based scores. By defining specific measurable parameters for each capability and sub-capability, the system converts detailed analysis requirements into standardized numerical calculations that are precise yet computationally tractable.
Data Source
AI summary
A method includes receiving hierarchy data indicating a capability hierarchy associated with a customer network, the capability hierarchy indicating that a first capability is a sub-capability of a second capability. The method further includes receiving application data from a MID server of the customer network, the application data associated with an application utilized by the customer network for the first capability. The method further includes determining, based on the application data, an application score indicating an effectiveness level of the application for the first capability. The method further includes determining, based on the application score, a first capability score associated with the first capability. The method further includes determining, based on the first capability score and the capability hierarchy, a second capability score of the second capability, the second capability score indicating a health metric of the second capability within the customer network.