What can a customer use to globally deduplicate their data?

The primary way a customer can globally deduplicate their data is through processing. This is because the processing step involves analyzing and transforming data as it is ingested, allowing for the identification and removal of duplicate records from the dataset.

During processing, various algorithms can be applied to detect similarities and redundancies within the data, ensuring that the imported information is unique and coherent. This step ensures that subsequent actions, such as analysis or review, are performed on clean and reliable data.

While other options like review, analytics, and import might play roles in the overall data management process, they are not specifically designed to handle deduplication on a global scale. Review generally pertains to assessing data quality or confirming accuracy after processing, analytics focuses on deriving insights from data, and import is concerned with the method of bringing data into the system. Thus, processing is the clear choice for deduplication tasks.