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What should be done to enhance the tracking and processing of loyalty data from a custom object?

  1. Create batch processes for all data types

  2. Implement real-time data feeds

  3. Split loyalty points into separate records

  4. Aggregate loyalty points in single records

The correct answer is: Split loyalty points into separate records

To enhance the tracking and processing of loyalty data from a custom object, splitting loyalty points into separate records is beneficial as it allows for more granular tracking and flexibility in managing loyalty transactions. This approach enables the system to capture each loyalty point transaction as an individual record, making it easier to analyze user behaviors, transaction patterns, and points accumulation over time. By separating each transaction, businesses can closely monitor changes in loyalty data, accurately assess user engagement, and respond quickly to anomalies or trends. This granularity is particularly useful for providing personalized marketing, issuing rewards, and addressing customer inquiries related to their loyalty points, fostering a better customer experience. In contrast, creating batch processes for all data types may not effectively manage real-time interactions with users. Implementing real-time data feeds would be beneficial in some contexts but could lead to overwhelming amounts of data to process if not managed correctly. Aggregating loyalty points into single records would hinder detailed tracking and limit insights, reducing the ability to leverage the data for strategic decision-making.