The Video

Improving the experience, efficiency, and profitability of streaming video requires data. Datazoom enables video publishers to better operate distributed architectures through centralizing, standardizing, and integrating data in real-time to power observability, adaptability, and optimization solutions.

What isdatazoom?

Datazoom is a self-service, Software-as-a-Service platform which continually gathers data from endpoints, like a CDN or a video player, through an ecosystem of collectors. Once the data is gathered, it is normalized using standardized data definitions. This data is then sent through available connectors to analytics platforms like Google BigQuery and Splunk and can be visualized in tools such as Looker and Tableau.


What Can Datazoom Do For You?

Increase Speed of Issue Resolution

Get the data you need in real-time. Don’t wait for your data when you need to resolve an issue immediately.

Get Data Consistency Across Sources

Use the Datazoom data dictionaries to automatically standardize variable names across sources.

Reduce Data Post-Processing

Enrich data gathered through collectors to reduce the need for table-relating and post-processing.

Save Resources on Data Processing

It costs time and money to process big data sets. Select samples instead to analyze  faster and cheaper.


It's More Than Just Technology

How It Works

The Datazoom self-service platform is easily accessed and managed through an intuitive drag-and-drop portal. With some basic configuration settings for each connector and collector placed onto the canvas, you can be up-and-running in just a matter of minutes!

Step 1: Collect

Gather Data From Endpoints

Via the Datazoom Collectors Library, you specify from where in the video stack you want to collect data. It could be a CDN. It could be a player. It could be both, or neither. Collectors make gathering the data you need plug-and-play.

Step 2: Standardize and Enrich

Reduce Data Post-Processing

Datazoom standardizes incoming data according to our Data Dictionaries to serve as data language and provide a common definition resource. Our Data Dictionaries enforce CTA-2066 and CTA-5004 video data standards. You can also enrich a captured event with data from another source. All of this cuts down on post-processing.

Step 3: Distribute

Send Your Data Where It Needs to Go

Via the Datazoom Connector library, you can send your data to common third party tools such as BigQuery, Splunk, Google Analytics, Amplitude, or even a custom system. New Connectors are continually being added to make building your Data Pipes even easier.


The Datazoom Platform is More Than Just Technology


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