To handle conflicting data formats in system integration, there is the need to start in identifying a common format that suits both systems. Use data transformation tools to convert data where needed, and establish clear standards for consistency going forward. Collaborate with stakeholders to ensure alignment, and document the process to make future integrations smoother. This approach helps streamline data flow and keeps everyone on the same page.

Harmonizing conflicting data formats during system integration requires a strategic blend of technology and planning. Beyond middleware and ETL processes, consider adopting a data mapping strategy to clearly define how data from different sources should align. Utilizing APIs can facilitate real-time data translation and integration, ensuring consistency across platforms. Additionally, implementing data validation rules can prevent errors and maintain data integrity. Engaging stakeholders early to agree on data standards can also streamline the process.