It is often necessary when organizations adopt new technologies, upgrade their systems, or merge with other companies.
Data mapping involves aligning data fields and structures from the source to the target system. It can be challenging, especially when dealing with complex data models or incompatible formats. Additionally, data transformations may be required to ensure data compatibility between systems. To overcome this challenge, invest time in comprehensive data mapping exercises. Understand the data requirements of the target system and create a clear mapping plan. Leverage automated tools or scripts to streamline data transformations and ensure accurate mapping.