Step 1: Data discovery
This ensures a full understanding of your data environment so you can identify and resolve issues before they impact critical timelines.
Utilising Aperture Data Studio, we provide insights into data quality, catalogue the sources of data that will be required and proactively surface issues before they impact the migration.
Step 2: Establish team roles and responsibilities
Data migration projects are often complex and multifaceted. That’s why one of the most critical steps is to work closely with your team to establish a clear understanding of responsibilities without transparency and accountability, critical tasks can be missed, putting the success of the migration at risk.
Step 3: Data mapping and transformation
Ingesting all required target templates and reference data objects into an audited repository, we ensure that source data is technically valid for its new target, we also work with subject matter experts to ensure that the data is shaped to fit the new system design, business processes and target operating model.