U.S. Media Network Eliminates Legacy Video Analytics System by Integrating Datazoom & Google Analytics
Combination quickly operationalizes raw data, lowering costs and speeding time to market
Realized Value
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.
Greater cost control. Datazoom + Google Analytics (free version) eliminated the need to keep the incumbent analytic system, resulting in ~50% financial savings.
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.
Challenge
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.
Solution
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.
You can operationalize your video data too! Check out this article on how you can configure Datazoom + Google Analytics here. Then sign up for your free, 15 day, 5GB trial of Datazoom.
Happy Analyzing!
Datazoom featured in UpRamp Innovation Showcase
Originally Published to Medium, August 6, 2019
Startup behind the first Adaptive Video Logistics platform to present to largest assembly of cable industry leaders worldwide
NEW YORK, New York & KEYSTONE, Colorado // — August 6, 2018 — Datazoom, the startup behind the first Adaptive Video Logistics platform for online video distribution, announced today their selection for presentation and exhibition at the UpRamp® Innovation Showcase hosted by CableLabs®.
As part of the CableLabs Summer Conference, the UpRamp Innovation Showcase connects cable industry leadership with innovative companies behind tomorrow’s technologies. The longest running pitch event of its kind, the Innovation Showcase provides an opportunity for the founders of high-tech startups to present their company’s products, ideas, and vision to top executives assembled from throughout the cable/broadband industry. UpRamp is sponsored by CableLabs, the leading non-profit innovation R&D lab founded by members of the cable industry.
Datazoom unveiled its eponymous Adaptive Video Logistics platform at the 2018 National Association of Broadcasters (NAB) Show, hosted this past April in Las Vegas, Nevada. With a single SDK, Datazoom allows distributors of any variety of video content online (OTT, IPTV, VOD, Live) to capture any raw data pertaining to end user Quality of Experience and Service, unify and standardize it into a larger dataset, and route it to the systems which require it with sub-second latency.
“We’re thrilled to be included among the prestigious selection of startups attending this year’s Innovation Showcase,” said Diane Strutner, CEO and Co-Founder of Datazoom. “Cable set the bar for viewing quality and experience that all online and OTT video platforms measure themselves against today. I’m excited to present Datazoom’s solution to this group of industry pioneers and leaders and show them how to best leverage their position as owners of the complex video delivery infrastructure-ecosystem for the new age of IP delivered video. Datazoom’s solution for low-latency data capture and routing can facilitate parity achievement between streaming and traditional, linear television viewing experiences. I’m looking forward to giving a live demo of our platform and having conversations with this group of technologists about the future of IP delivered video for the cable space.”
About Datazoom
Datazoom is a big data technology company pioneering of a new class of software, Adaptive Video Logistics, and has developed the first “mission control” tool to standardize data collection and synchronize data distribution in the streaming media space.
Adaptive Video Logistics (AVL) is cloud-based platform leveraging patent pending technology which enables content distributors to use a single remotely updatable SDK to capture data from video players and other endpoints with sub-second, real-time precision and direct it to the systems which require it.
Datazoom, Inc. is privately held and headquartered in New York, New York with offices in Silicon Valley, California. For more information please visit www.datazoom.io.
SOURCE: Datazoom, Inc.
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PR Contact
Diane Strutner
diane@datazoom.io
Datazoom Ecosystem Expansion — Snowflake
March 15, 2019
Connecting OTT’s only Data Control Platform with the first Enterprise Data Warehouse built for the Cloud
Snowflake, a powerful next-generation data warehouse, is growing in popularity among video distributors. Using an innovative, cloud-based approach for designing an enterprise data warehouse, Snowflake offers a low-maintenance, scalable, and drama-free solution which frees IT and Data Science teams to focus on operations and number crunching and not administration.
With a growing proportion of video distributors (and the video technology vendors which support them) seeking a flexible cloud warehouse to bolster their OTT operations, we’ve designed a way to deliver any data flowing over Datazoom’s Data Pipes into Snowflake. Datazoom’s AWS S3 Connectorfacilitates this data flow, and with a simple 5-minute credential validation Snowflake customers can route normalized video event, metadata, and FluxData into a powerful data warehouse for permanent storage and further analysis.
With Datazoom + Snowflake, video data can be captured with superior quality and at a scale never before seen to facilitate data storage and sharing in a few easy clicks from our UI. Moreover, for organizations looking to leverage new technology that are underpinned by artificial intelligence and machine learning in their online video operations, this powerful coupling of technologies provides the stable foundation that required to ground this task. This is all possible thanks to this collaboration, which provides a capable and intuitive capture, routing & storage infrastructure for data.
Want to learn more about Datazoom’s integration with Snowflake? Click here to schedule a call with our team, and discover how you can support your online video strategy with the first Data Control Platform dedicated to streaming media.
Originally published on Medium, October 19, 2018.