In my previous role, I discovered a discrepancy in our customer database where duplicate entries were causing errors in our reporting. I conducted a thorough audit, identified the root cause, and implemented a data cleansing process that involved cross-referencing with other systems. This not only resolved the issue but also improved the accuracy of our future reports.

I establish robust data governance frameworks that include regular audits, automated validation checks, and clear data entry protocols. By leveraging tools like ETL processes and data quality software, I ensure that data is consistently formatted and validated across all platforms. Regular training sessions for staff also help maintain high standards of data entry.

I implement strict access controls, encrypt sensitive data, and conduct regular security audits. Additionally, I ensure that all team members are trained in data protection protocols and that we adhere to industry best practices. By maintaining an up-to-date incident response plan, I can quickly mitigate any potential breaches.

I facilitate cross-departmental meetings to understand the source of discrepancies and align on common data definitions. By creating a centralized data repository and implementing standardized reporting tools, I ensure that all departments are working with the same accurate data. Regular reconciliation processes further help in identifying and resolving any inconsistencies.

My approach involves a meticulous planning phase where I map out the current and future data structures, perform a thorough data audit, and identify potential risks. During the migration, I use a phased approach with extensive testing at each stage to ensure data integrity. Post-migration, I conduct a final validation to confirm that all data has been accurately transferred.