With Datazoom and Splunk integration, you can enrich data in Splunk with standardized, player and CDN data to provide customers with greater end-to-end visibility of their media business.
Create real-time, customized metrics and dashboards that are 3-5x faster at 40% TCO reduction over traditional video analytics tools. Gain deeper, actionable insight into how viewers experience your content within seconds to inform operations and customer support teams. For example, set alerts when metrics reach custom alarm thresholds, and provide a dashboard for customer service teams to see per-user metrics.
Create metrics that help prioritize product fixes based on what’s most impactful to revenue. For example, measure the difference between number of ads consumed when a viewer has an error or experiences a buffering event vs. a better viewing experience. Use this data to prioritize what issues to fix first.
Send your Player, CDN, Origin, Encoding and backend service logs to Splunk for end-to-end video pipeline observability, understand inefficiencies, and identify the root-cause of issues faster. For example, capture log and telemetry data from each of these systems into a singular dashboard to see the upstream impact and final quality of the end-to-end workflow.
Leverage powerful AI and ML capabilities for automatic identification and prediction of streaming issues by understanding patterns and correlations between the user experience other services. For example, track CDN performance data such as RTT, Cache Status or TTFB against end-user quality metrics such as Video Start Time, Stall Ratio, and Average Bitrate to detect degradation of the viewing experience, or predict it.
The Datazoom SDK collects data from any OTT mobile app or website. Once collected, the data is normalized against a standardized data dictionary. The data can then be made available to Datadog for visualization.
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