Which type of insight is best suited to analyze clickstream data every five minutes?

• A. Calculated Insights
• B. Streaming Insights
• C. Einstein Insights
• D. Data Action

Answer: (B)

Streaming insights are designed for real-time or near-real-time analysis of data as it arrives. Clickstream data consists of a continuous stream of user actions, so updating dashboards and metrics every five minutes requires processing that happens continuously rather than in large, infrequent batches. With streaming insights, you can compute and refresh metrics on a rolling five-minute window, giving you up-to-date visibility into user behavior, trends, and anomalies as they happen. This low-latency, windowed processing is what makes streaming insights the best fit for analyzing clickstream data on a five-minute cadence.

Calculated insights are typically derived from data in scheduled jobs or batches, so they won’t inherently provide fresh, five-minute updates. Einstein insights focus on AI-driven patterns and may operate on modeled data rather than live streams. Data action is about triggering responses based on insights, not the type of insight itself.