How can Data Sync optimize dataflows in CRM Analytics?

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The correct answer highlights how Data Sync strategically separates and manages the extraction of Salesforce data from dataflows, enhancing the overall efficiency and flexibility in a CRM Analytics environment. By decoupling these processes, Data Sync allows for the synchronization of data on a different schedule than the dataflows themselves. This means that data can be kept up-to-date without requiring the full dataflow to run every time there are changes in the source data, which can significantly reduce the load times and performance requirements of the analytics operations.

Additionally, this separation enables organizations to handle real-time or near real-time data updates more effectively. It ensures that the latest data is available for analysis without necessitating frequent execution of the entire dataflow, allowing for a more responsive and efficient analytics process.

In contrast, the other options do not accurately capture the specific advantages and functioning of Data Sync in conjunction with dataflows. They either misrepresent the relationship between data sync and dataflows or overlook the benefits of separating their schedules for improved data handling.

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