Intelligent Enterprise Architecture via Segmented Entry Points
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current enterprise architectures lack the ability to efficiently address business complexities and pain points, such as energy inefficiencies and collaboration challenges, within a smart computing system framework.
Innovation Solution
The development of an intelligent enterprise architecture (IEA) with defined entry points like IEA for Cloud, Social Computing, Green and Beyond, and Information Intelligence, which utilizes business value models and technology frameworks to optimize enterprise computing architectures, enabling instrumentation, interconnectivity, and intelligence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional enterprise architecture approaches are used, then implementation simplicity is maintained, but the ability to address business complexities and pain points is insufficient
Solution Approach 1:
The enterprise architecture is segmented into multiple independent entry points (Cloud Entry Point, Social Computing Entry Point, Green and Beyond Entry Point, Information Intelligence Entry Point), each addressing specific business complexities. This segmentation allows the architecture to handle complex business issues through modular, focused solutions without overwhelming the entire system.
Solution Approach 2:
The architecture employs dynamic elements including dynamic entry point selection based on business needs, dynamic prioritization of business drivers, and adaptive architecture evolution. The system can dynamically adjust which entry points are activated and how resources are allocated based on changing business conditions and pain points.
2Productivity
If comprehensive business driver analysis is performed, then business value optimization is improved, but analysis time and resources increase
Solution Approach 1:
Instead of analyzing all possible business drivers comprehensively, the system identifies and prioritizes the most critical business drivers relevant to each entry point. This partial action approach focuses resources on high-impact areas while avoiding the time consumption of analyzing every conceivable business factor in detail.
Solution Approach 2:
The architecture performs preliminary analysis and prioritization of business drivers during the planning phase, establishing the scope and focus before implementation begins. This preliminary action reduces the need for extensive analysis during execution and allows for faster, more targeted implementation.
3Loss of energy
If virtualization and intelligent systems are implemented, then energy efficiency and collaboration are improved, but system complexity increases
Solution Approach 1:
The architecture introduces intermediary layers and services that mediate between complex virtualized components and simpler business applications. These intermediaries abstract the complexity of virtualization and intelligent systems, presenting simplified interfaces that improve energy efficiency and collaboration without exposing the underlying system complexity to end users.
Solution Approach 2:
The entry points and architecture components are designed with multi-functionality, allowing a single component to serve multiple purposes. For example, the Cloud Entry Point handles both cloud migration and energy optimization functions, reducing the need for separate specialized components and thereby limiting the increase in overall system complexity.
Data Source
AI summary
An intelligent enterprise architecture (LEA) for an enterprise is defined. One or more IEA entry points are selected. IEA entry points represent a starting point for defining the IEA, which is an architectural development process for defining an enterprise computing architecture within a smart computing system. One or more business drivers for pain points in the enterprise are associated with a selected IEA entry point. A business value model is generated and utilized to focus a scope of the business drivers for the selected IEA entry point. An optimal IEA that satisfies the business drivers to ameliorate the pain points in the enterprise is then defined.