By leveraging the power of Datazoom's Data Dictionaries Customers can easily generate valuable metrics to drive business KPIs, data-driven decisions & replace expensive metric-focused analytic systems with more flexible general purpose tools that can be even more powerful. Datazoom's Metric Encyclopedia shows you how to generate the valuable metrics that allow your team to focus on the factors that truly matter to your business objectives.
Buffer Ratio (average)
This metric, reflected as a percentage, compares the amount of time a viewer spends waiting for video to start up or resume after an interruption against total time spent watching a playing video. Buffer Ratio is useful for understanding the fraction of a user’s playback experience spent loading the video. Includes all buffering needed for video start-up, resuming after seek or stalls.
Required Data Points
- Stall End (event)
- Playback Duration (fluxdata)
- Time Since Last Buffer Start (fluxdata)
- Content Session ID (metadata)
You can then translate these expressions into the specific querying language of the tool you’re using, or another format your system of choice may require. Keep in mind that these formulas are sample starting points. They are by no means the end all and be all of formulas. Part of the beauty of the Data Dictionary is its role as a springboard for customizing metrics in a fashion which best suits your organization.
However, please note that similar to how players expose data points by different names, each player exposes different data points entirely. Thus, some of the metrics below may not be supported across players. To check if the players your team relies on are supported, check out our documentation here.
The Data Dictionary is designed to collect raw behavioral and system event data that can be used to generate many popular video streaming quality of experience metrics. Check out Datazoom's Metrics Encyclopedias for more information about how the power of Datazoom's Data Dictionary can power your streaming video analysis.
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