Question 1 of 30
In a financial services organization, the data management team is tasked with integrating customer data from multiple legacy systems into a new centralized database. They need to ensure that the mapping of customer attributes is accurate and consistent across all systems. Which data mapping technique should the team prioritize to effectively manage discrepancies in data formats and ensure data quality?
Establishing transformation rules that define how each attribute from the source systems should be converted to the target format, including data type conversions and value mappings.
Implementing a data lineage tracking system to monitor the flow of data from the source systems to the centralized database, focusing solely on the origin of the data.
Utilizing metadata to provide context for the customer attributes, ensuring that all team members understand the meaning and significance of each data element.
Conducting a one-time data cleansing process to remove duplicates and inconsistencies in the source systems before initiating the mapping process.

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