Timeline Post Type Description


Final migration run to move source data to the target system within the production environment. Full sign-off through reconciliation reports and target system testing is done. Decommissioning of the legacy systems.


Run and repeat. Test migrations and parallel run reconciliations are executed multiple times and defects found in reconciliations are managed and addressed. Rehearsals are done to determine the exact timing of a migration run and mock reconciliation sign-offs are fulfilled to re-enact the processes to be followed on production day.

Configuration & Analytics

Implementation of the automated migration solution. Data load processes are configured, business and transformation rules are implemented and reconciliation reports are built. Data models are constructed for data analytics and dashboards. Making use of industry leading data analytic tools to uncover insights from raw data to enable better and faster decision making. Visually representing the insights with functionality to drilldown, drill through and interrogate the data with the ability to quickly alter or pivot a diversity of views. All data operations are reinforced by the data governance and compliance strategies.

Analysis & Design

Analyse and examine the data from sources, document the data dictionary and map the source to target fields. Business and transformation rules are identified and validated in conjunction with backup and archiving strategy planning. Data governance standards and policies are integrated into the solution design to ensure adherence at every level of the project and certifies that data will remain trusted, accurate and fit for use in business processes, decision making and accounting.


Formulate the detailed requirements and migration approach. Carry out data acquisition planning, data sensitivity classification and business rule categorisation. Supported by compliance strategies that provide guidance regarding data sensitivity, fraud, client privacy and illegal data transfer.


Understand the high-level challenges and requirements for the migration. Define sources, targets and tools. Formulate the policies that will regulate the data governance standards to be followed during the entire data migration process.