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GEA-NZ dimension: Data, information and analytics

The data, information and analytics architecture dimension is one of the 4 core dimensions that represent the operational aspects of your enterprise architecture.

The data, information and analytics architecture is being refreshed by Statistics NZ. The State Services Commissioner designated the Chief Executive of Stats NZ as Government Chief Data Steward (GCDS) in 2017. Statistics NZ provide functional data leadership for the NZ government. While the architecture is being redeveloped the GEA-NZ v3.2 data and information content is available through this page.

The data, information and analytics dimension of the framework represents a structure for information management in NZ government. It also shows how data and information are related to other dimensions.

This dimension supports discovery, description, management, protection, sharing and reusing of information within and across agencies and their business partners. It describes best practices and artefacts that can be generated from the data architectures.

Redevelopment of this dimension

Statistics NZ are currently leading a significant redevelopment of the Data, Information and Analytics dimension of GEA-NZ.

If you would like to know more about the redevelopment or would like to be involved in this work contact

Reference taxonomy

The data, information, and analytics dimension has a Data and information reference taxonomy that provides a common language that can be used to categorise and understand an agency’s information.

To download the reference taxonomy, see: Reference taxonomies.

Relationships to other dimensions

Table 2: How data, information and analytics influence other dimensions

Dimension Influence
Strategy, investment and policy Identifies data and information that can be used for strategic decision-making.
Governance and performance Provides a framework for data and information that can be used to improve governance models and business performance management.
Standards Information on standards usage, gaps and compliance helps prioritise standards development and adoption; metadata standards are also needed for quality and consistent interpretation and interoperability of data usage across government data system domains.
Identity, privacy and security A formal approach to data and information management can help reduce privacy and security risks; it also enables a modern approach to digital identity.

Provides the linkage to robust evidence based on appropriate use of data and analytics to achieve business outcomes.

Supports value driven evolution of structure to the data and information resources that support business services, processes, capabilities, information sharing, and reuse.

Application and software services Data and information provides the authoritative data and information structures to be used by application and software services.
Infrastructure Data and information provides the data and information functional and non-functional requirements for technology and infrastructure services.


All-of-government resources

At an AoG level, the data, information, and analytics dimension describes the information capabilities required by agencies, and the related management and governance required to support those capabilities.

Your agency's resources

At an agency and sector level the data, information and analytics dimension describes the specific information capabilities, assets, management and governance utilised in the day-to-day operations of the agency and sector.

  • information asset catalogue/register
  • information sharing agreements
  • data dictionaries
  • information policy
  • disposal schedules
  • information management training resources
  • data governance: data stewards, custodians
  • business application data models
  • sector information data models
  • agency and sector data standards
  • data linkages from your application portfolio management
  • data linkages from your service portfolio management.

Utility links and page information

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