GEA-NZ Reference Models and Taxonomies

The GEA-NZ Reference Models and Taxonomies are overviewed in the table below which contains the links to the detailed PDF documents, and links to CSV files of the taxonomies.  For Sparx EA XMI files of the taxonomies please contact GEA@dia.govt.nz

Dimension

Description

Business

The GEA-NZ Business reference model is a generic representation of the business processes, products and services that deliver the outputs of the organisation. In GEA-NZ v3.1, the Business reference model emphasises aspects of customer centricity and channel shift that are objectives of the ICT strategy and Action Plan.

GEA-NZ v3.1 Business Reference Model and Taxonomy pdf 1.1MB

GEA-NZ v3.1 Business Reference Taxonomy csv 284 KB

Data and Information

The purpose of the GEA-NZ Data and Information reference model is to discover, describe, manage, share and reuse information within and across agencies. It describes best practices and artefacts that can be generated from the data architectures.  It also provides a data and information governance framework, and maturity assessment.

GEA-NZ v3.1 Data and Information Reference Model and Taxonomy pdf 2.43MB

GEA-NZ v3.1 Data and Information Reference Taxonomy csv 172KB

Application and ICT Services

GEA-NZ Application and ICT Services describes the business applications, including ‘Software as a Service’, that support the business processes of the enterprise. It includes core business applications, COTS corporate applications and end user computing applications.

GEA-NZ v3.1 Application and ICT Services Reference Model and Taxonomy pdf 1.2MB

GEA-NZ v3.1 Application and ICT Services Reference Taxonomy csv 236KB

Infrastructure

GEA-NZ Infrastructure describes the technology infrastructures that support the application and business processes of the enterprise. It may include insourced, outsourced or cloud capabilities.

GEA-NZ v3.1 Infrastructure Reference Model and Taxonomy pdf 1.08MB

GEA-NZ v3.1 Infrastructure Reference Taxonomy csv 100KB

Page last updated: 11/04/2017