When merging data from diverse sources, I ensure accuracy and consistency by following a structured approach. First, I clean and standardize the data, using tools like SQL and Excel to remove duplicates and format the data uniformly. Then, I cross-verify key metrics across sources to identify discrepancies. Additionally, I implement validation rules and automate data checks where possible, ensuring ongoing accuracy. Regular audits and collaboration with stakeholders also help maintain data integrity, ensuring the final merged data is reliable and consistent for analysis and decision-making.

While merging data from multiple sources, one of the popular approaches is to create a single source of truth. It is the practice of creating information models and associated data schemas to ensure that each data element is maintained/edited in only one place. Single source of truth will enable master data management by providing a centralized repository of data that ensures consistency, accuracy and compliance.

First, always verify the reliability of each source by using reputable and credible information as your foundation. Standardizing formats is also crucial; make sure all data is in the same format, using consistent units, dates, and styles to ensure everything aligns properly. Cross-checking information from different sources helps identify discrepancies, allowing you to investigate and understand any differences. Additionally, document any changes you make to the data for transparency, so others can follow your methods. Finally, remember that data can change over time, so regularly review and update your information to keep it current.

I prioritize data governance and standardization. I start by defining clear data quality rules, such as data validation checks and normalization standards. Tools like ETL processes (e.g., Talend, Alteryx) help in cleansing and transforming data. I also ensure data mapping aligns with business requirements and utilize techniques like data profiling to spot inconsistencies early. Regular audits and documentation ensure transparency, while collaboration with stakeholders ensures alignment on data accuracy throughout the process.