Data is an integral part of every organization’s success. Yet many organizations can’t get the most from their data because the data is stored in disparate legacy systems. Moving data to modernized data management systems makes it possible for organizations to gain meaningful insight from their data, reduce inefficiencies, and connect with customers more effectively.
Data migration and data onboarding failures are often due to lack of effective collaboration, differing data standardization system designs that aren’t planned properly, and data quality issues. Proper planning is essential to avoid an incomplete conversion of legacy data.
Experian’s data management system includes a single tool that will simplify your data migration experience. Whether you’re analyzing data, performing root cause analysis, or building out migration rules, you’ll be using the same tool. The ease of use means technical and non-technical staff can work together, share screens, and collaborate while analyzing data.
Our one-stop solution for data migrations will help you reduce the associated risks with traditional data management projects, shorten project timelines, and ensure that your costs stay under control. By focusing on the quality of your data, your migration will provide better-quality results.
Pre-migration planning is essential to the success of any data migration project. An effective plan will begin with a pre-migration impact assessment, creating a structured task workflow, identifying key project resources, ensuring that all stakeholders are aware of their responsibilities, and conducting a thorough landscape analysis.
Thorough testing is critical before deploying a data migration project. During this phase, your organization will create specifications of how your source and target objects will be mapped, create a design for all interfaces that are required to extract data from, and define how you will monitor data quality issues.
After testing the data conversion and ensuring that you have adequate hardware, processes, documentation, and stakeholders in place, you’re ready to execute and validate the migration. In addition, it’s important to independently validate the migration to ensure that the process has effectively delivered the data with sufficient quality.
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