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 to

Learn how to plan strategically, profile and cleanse data, map and transform data effectively, test and validate, manage change and communication, and implement backup plans.
Data migration involves moving data from one environment or system to another. It is often necessary when organizations adopt new technologies, upgrade their systems, or merge with other companies. However, data migrations can present various challenges that can impact the success and efficiency of the process.
In this blog, we will discuss some common challenges in data migrations and explore strategies to overcome