What does the digest transformation specifically extract?

The digest transformation is designed to extract synced connected data from external sources. This means it focuses on pulling in data that is not just static or historical, but rather data that is relevant in real-time or near-real-time from various external systems where live updates can occur.

This functionality is particularly important in CRM analytics, as it ensures that the insights you derive and the analytics you perform are based on the most current information available. The ability to sync and connect to external databases, applications, or platforms allows for a comprehensive view of customer interactions, behaviors, and trends, which can be vital for timely decision-making within a business context.

When considering the other options: historical records, while important, do not capture the real-time aspect that the digest transformation emphasizes; metadata about dataset structures pertains more to understanding the schema than to pulling direct data; and while aggregated statistical insights are valuable, they are usually derived post-extraction rather than being the primary focus of what the digest transformation itself extracts.