This phase is about applying the right solutions and tools to develop interoperability. Implementation decisions will be informed by the planning and design phase that outlines how your revised business environment will operate.

Your implementation isn't complete until you have also considered how you will embed new processes into business as usual (BAU) – along with a plan for continuous improvement.

Interoperability Development Phases presented as a diagram that shows Data governance and management supporting the Current state assessment, Gap analysis, Future state, Planning and design and Implementation phases.

The solutions and tools summarised below are specific to the four interoperability scenarios that highlight data integration, legacy data migration, data exchange, and metadata for publication and exchange.

Data integration

Advice on approaches to combine and publish data from different sources into usable and trusted information.

Data collection

Advice on how data collection is used to gather information from users.

Data migration

Advice on transferring data from one application or format to another. Includes advice to address data quality and lineage issues during a data migration.

Data exchange

Outlines the importance of agreed data formats and structures between parties exchanging data. Includes advice on data exchange standards for the structure of data elements.

BAU, monitoring and improvement

Advice to help you embed new processes into business as usual (BAU). This page also outlines how to monitor the solution for continuous improvement.

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