What evaluation method is typically used with streaming ingestion in a customer journey analysis?

In the context of customer journey analysis, the appropriate evaluation method for streaming ingestion is real-time. Streaming ingestion involves processing data in real time, allowing analysts to capture and evaluate customer interactions as they happen. This ability to analyze events as they occur is critical in a customer journey context, where timely insights can drive immediate responses and adjustments to strategies.

Real-time analysis enables businesses to respond dynamically to customer behaviors, enhancing personalization and engagement efforts. Unlike other methods, such as batch processing, which aggregates data over a period before processing, streaming ingestion demands a real-time approach to effectively leverage the continuous flow of data. This makes real-time evaluation particularly suitable for scenarios with high volumes of rapidly changing data, ensuring that insights remain relevant to ongoing interactions.

In contrast, methods such as sequential or batch processing are more suited for scenarios where data can be collected over time and analyzed later, making them less effective for immediate reaction and engagement in the customer journey.