http://www.enterprisearchitects.eu/knowledge.html
The cross-Governement Enterprise Architecture (xGEA) is a fundamental element of the governement’s “Transformational Governement – Enabled by Technology” strategy which was published in November 2005. In that strategy the first priority of the CTO Council was identified as being to agree and publish a standard Enterprise Architecture reference model which would help align existing and emerging technical architectures across governement with the xGEA. Governement like most enterprises is extremely complex and subject to an ever increasing rate of change. Accommodating change is costly, time-consuming and can be an obstacle to success. Information Technology is a complex and fundamental enabler, but difficult to change quickly. Against this background we have created a practical, pragmatic approach to developing our xGEA.
Many parts of the public sector are already in the process of creating or are maintaining an enterprise architecture. The xGEA is intended to supplement not replace the architecture capabilities of specific public sector bodies.
The xGEA will define a set of views to allow decision makers to make the right choices to best transform governement enabled by IT. The focus of Release 1 is to create views that will facilitate both the production and consumption of reusable assets.
In order to rapidly achieve value an ‘exemplars approach’ has been adopted. Exemplars are tested and proven processes, methods, tools, techniques, systems or services nominated for collective use by their business leader, CTO or CIO. It will enable public sector bodies to submit the good practice assets for consumption from other organisations and will facilitate the consumption of those assets.
This process has been designed by contributions from Departments, Agencies, Local Governement and the Devolved Administrations. In order to communicate across the organisations a common language will be required. To facilitate this, a Reference Model has been built, and is being populated with exemplars’ details.
It is envisaged that the process to capture and assign exemplars will continue to develop over time. As this work evolves the models will change to reflect the language being used. Our iterative approach will allow us to develop this work in a pragmatic and achievable way.
