In a previous role, I discovered a discrepancy in our inventory data that was affecting our supply chain operations. I first isolated the source by cross-referencing multiple datasets. Then, I collaborated with the IT team to trace the data back to its origin and identified a software bug as the root cause. After implementing a fix, I conducted a thorough audit to ensure data integrity and provided a detailed report to stakeholders, ensuring that such discrepancies could be prevented in the future.

Ensuring data accuracy involves a combination of automated checks and manual validation. I implement data validation rules and regular audits to catch errors early. Additionally, I use data governance frameworks to standardize data entry processes and ensure consistency across the organization. Regular training for data entry staff and clear documentation of data standards also play a crucial role in maintaining high data quality.

I am proficient in a variety of tools and technologies including SAP Master Data Governance, Informatica MDM, and Talend. I also have experience with SQL for data querying and manipulation, and Excel for data analysis and reporting. Additionally, I use data visualization tools like Tableau and Power BI to present data insights effectively.

Data migration projects require meticulous planning and execution. I typically start by defining the scope and objectives, followed by data mapping and cleansing. One major challenge I faced was ensuring data integrity during the migration process. To overcome this, I implemented a phased migration approach with thorough testing at each stage. This allowed us to identify and resolve issues before the final cutover, ensuring a smooth transition.

Data governance is crucial for maintaining the quality, consistency, and security of master data. It involves establishing policies, procedures, and standards for data management. Effective data governance ensures that data is accurate, reliable, and accessible to those who need it, while also protecting sensitive information. It also helps in aligning data management practices with business objectives, leading to better decision-making and operational efficiency.