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You are working on a data integration project where you need to merge data from multiple sources into a single data repository. The data includes customer demographics, transaction history, and product information. Which of the following steps should you take to ensure the data quality and consistency during the integration process?
A
Manually review the data from each source to identify any inconsistencies or inaccuracies.
B
Implement a data validation process that checks for data completeness, consistency, accuracy, and integrity during the integration process.
C
Assume that the data from each source is accurate and consistent, and directly merge it into the data repository without any validation.
D
Use a data profiling tool to analyze the data from each source and identify any issues with data quality before the integration process.