Combination quickly operationalizes raw data, lowering costs and speeding time to market
- Greater cost control
- Decreased time to live
- Time to go-live with Datazoom + Google Analytics in less than 3 hours for web platforms. Phased onto mobile and connected platforms over the course of two months
- Datazoom reduces the complexity of maintaining multiple integrations with its single line of code (and libraries), and centralized “command center” UI.
- Datazoom is developer friendly and able to easily co-exist with home-brewed systems
- Raw data turned into insights
- Real-time, raw, data means faster and more accurate decision making.
The flexibility and transparency of Datazoom’s Data Pipes enable the Company to exert total control and centrally capture, classify, and connect raw playback data in real-time.
DOES THIS SITUATION SOUND FAMILIAR?
The Media Network (Company) operates three 24-hour cable networks in the United States. One distributes content across 10 platforms, another provides a subscription streaming service, and the third is a digital publishing extension which creates novelizations of previously aired original movie favorites. Realizing it was time to innovate their streaming strategies and analytics infrastructure, they started by completing a total player migration and kicked off a company-wide initiative to revitalize their data strategy. This became a valuable starting-point for asking hard questions about their current analytics solutions.
“Are these metrics consistent? Is the data supporting them redundant? How valuable are the analytics which supports our operations? How many systems and resources will I need to dedicate to maintain this approach?”
Even with previously-approved implementations of their analytics providers, the conflict of expectations and support imposed a constant drain on the development resources needed for other projects.
Working with Datazoom and their player provider, the Company built a phased implementation plan to achieve specific business goals. Once the connection between the video player and the Datazoom platform was established (a process which took approximately 15 minutes and was deployed directly into the production environment), teams were able to focus on specific data points which needed to be captured, at which frequency, and routed to Google Analytics in order to generate the necessary metrics for reports that drive their business. Datazoom and Google Analytics quickly operationalized their raw data and allowed them to realize what was once only imagined with their previous solution.
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