EA Goals
Value Targets
EA Principles
EA Platform
21st Century Enterprise Architcture
EA Goals

Enterprise Architecture Goals
Drive and enable higher value from future investments. 

               Enterprise Architecture ultimately enables better current and long term investments through:

Form, Fit and Function of Enterprise Systems and Enterprise Data/Information

The enterprise is a single entity; can’t function well with disparate systems and data

Enterprise Architecture capability quality is measured by the completeness of the integration and the quality of the data achieved

Establish Enterprise-Wide Data Infrastructure, With Independence From Applications

Master Data Architecture forms are relatively stable, enterprise level standard forms.

Application entity specializations within master domains are controlled by semantic keys.

Data Quality Services attach to each master, and are common shared assets for all applications

Build Assets, Not liabilities with Added Future Expense

Project work must create enterprise assets, not disparate liabilities and a continuum of expenses. The ROI increase is enormous

Build less, not more and faster
Establish A Systemic Process for Enterprise Architecture Investment and Re-Investment

Focus on Enterprise Capabilities through engineering leveraged Enterprise Assets; not short term specific problems and fixes.

Enterprise Architecture: Business, Data, Process, Rules, Capability, Information, Metadata, Applications/Solutions/Services; will be an aligned package of form, fit and purpose.

Master Plan (target) and A Roadmap (steps) are outputs.  Roadmap must be revisited and updated on a cyclical or event driven basis.

Achieve Enterprise Alignment, Integration and Interoperability By Architected Form, Fit, and Function

Integration is an architected, engineered, sustainable constant state of the enterprise systems and data.

Alignment is achieved with a strategic view of the enterprise, holistic and balanced.

Alignment is verified through Result/Output mapping.

Integration is not achieved with additional projects and tools; it does not mean “fix it”, create special interfaces, or translate and transform.

Data Quality is governed from the point of creation, and is a steady state of enterprise operational data.

Develop Executive Level Buy-in and Support

Focal Point: Business oriented framework for architecture; direct, easy to understand, whole.

Why and how greater value assets can be built; Investment and Re-investment opportunities.

Align EA investment with EA Business Capability Strategy


  • Maximizing ROI and 21st Century Information System Capability