The data in production systems can be of varying quality and consistency and therefore might introduce inconsistencies when synchronizing systems. This phase presents an obvious point of separation between the resources implementation team and the business units or groups who “own” or manage the data in the systems to be integrated. At times, the associated risk and cost factors might not belong in a provisioning project.
You need to use the data model that you completed in the analysis and design phases. You should also have a possible record matching and data format strategy in order to prepare the data correctly. With the data model and format strategy defined, you can complete two important steps:
Create production data sets appropriate for loading into the Identity Vault (as identified in the analysis and design activities). This includes the probable method of loading (either bulk load or via connectors). The requirement for data that is validated or otherwise formatted is also identified.
Identify performance factors and validate these factors against equipment being used and the overall distributed architecture of the deployment of Identity Manager.
After the data is prepared, proceed to Quality Assurance.