Our methodology for moving data to more modern platforms typically reduces estimated timeframes and conversion costs of by 40% to 60%.
We believe that quality and efficiency arise by engaging the life insurance and financial business experts, not just the technical experts, throughout the data migration process. We also believe that what matters most is a thorough understanding of the operational differences between the source and target systems so that source product data can be transformed to process perfectly on the target system.
Using our tools, experience, and components we’ve collected from past projects, we rapidly develop a prototype data migration solution. We select a relatively small and simple subset of data and test the solution. Built-in reporting components collect the various messages that are generated so that they can be analyzed and the solution can be perfected.
This solution testing and analysis exposes new requirements that the business experts enter into the toolset. The process is repeated using more complicated records and eventually increasing data set size. UCT innovated this agile-like methodology in 1989 and has been perfecting it ever since.