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A Closer Look At A Streaming Company's Use of Datazoom for Real-time Analytics
Date published: August 1st, 2023
Company Details
Highlights
Consolidated data pipelines across the company onto a single platform
Integrated data stream with existing toolchains increasing the speed of data insights
Addressed all devices through a single SDK for data collection
Implementing a Solution
The Results
Key Results
- Consolidate data capture needs across business units into a single platform
- Improved insight into how users engage with content
- Able to leverage existing investment in data analysis and visualization tools
Why Datazoom?
As a turnkey Data-as-a-Service platform, we were able to get up and running very quickly. By implementing just a single element into our video player (the DataZoom SDK), we could build a variety of different data pipes to deliver metrics to business units across the organization. This allowed us to get up and running quickly to better understand how viewers engage with our content and streaming platform while providing a means to maximize views and revenue.
Matt Tretin
VP Engineering
About the Results
DataZoom is basically a turnkey solution that enables us to quickly get key metrics and an understanding of our video performance across a huge footprint encompassing almost every streaming device out there. By leveraging easy customizations with the DataZoom SDK we are on a clear path to collect meaningful data on how users engage with our content and easily surface that data to a standard toolchain allowing easy analysis by data science and enrichment with other data sources.
DataZoom is basically a turnkey solution that enables us to quickly get key metrics and an understanding of our video performance across a huge footprint encompassing almost every streaming device out there. By leveraging easy customizations with the DataZoom SDK we are on a clear path to collect meaningful data on how users engage with our content and easily surface that data to a standard toolchain allowing easy analysis by data science and enrichment with other data sources.