A video-streaming company wants to spot when viewers experience repeated buffering and immediately lower bit-rate or offer a discount before they abandon the service. How does adopting real-time streaming analytics on Google Cloud provide business value in this situation?
It converts unstructured video metrics into relational tables for quarterly reporting.
It eliminates the need for data governance because live data streams are never stored.
It surfaces near-real-time insight that triggers automated actions to keep viewers engaged.
It minimizes network egress charges by transferring historical data to lower-cost storage classes.
Real-time streaming analytics continuously ingests events, analyzes them in seconds, and can trigger automated actions while the customer is still engaged. This timeliness lets the business prevent churn by improving the viewing experience or sending targeted incentives at the critical moment. Batch or archival processing, cost-focused storage changes, or ignoring governance do not deliver the same immediate, revenue-protecting impact.
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