In this age of Big Data, companies looking to switch or upgrade their systems face a very daunting task. Between the amount of intellectual property housed in data and the various regulations required to maintain it, safely migrating data to new solutions is more critical than ever. Unfortunately, many companies remain in less-than-ideal solutions because they believe the risk of migrating to a new system is just too great. But that's not the case – with the right service provider, data migration is smooth sailing.
Effective data migrations begin with mapping data on the old system to the new system, which ties old data formats to the new system's formats and requirements, and provides a guide for data extraction and data loading. (Data extraction is the process of reading data from the old system, and data loading is when data is written to the new solution). Automated and manual data cleansing is commonly performed during the migration process to improve data quality, eliminate redundant or obsolete information and match the requirements of the new system.
After extracting and cleansing data, and loading it into its new system, the results are verified to ensure that the data is accurately translated, complete and supports the processes in the new solution. During verification, there may be a need to run both systems in parallel to identify areas of disparity and prevent any data loss.
Data migration phases for complex migrations are commonly repeated several times before the new system is deployed.
See our Data Migration Services page to learn more.