Datazoom Announces 3 Looker ‘Blocks’ for OTT Video: Engineering, Content, and Product Performance
NEW YORK, NY / ACCESSWIRE / March 9, 2021 / Datazoom, a real-time video data platform, announced the release of three new Looker Blocks for Engineering, Content, and Product Performance. Datazoom customers who are also Looker subscribers can now use one or more pre-built, out-of-the-box dashboards in Looker to easily gain a detailed understanding of audience growth and engagement, advertising, content performance, Quality of Experience (QoE), and other core KPIs specific to OTT video.
The key to ensuring the growth and quality of a streaming service is being able to derive meaningful insights and actions from data. Although the task of analyzing raw data might seem daunting, ultimately having access to the underlying raw data and queries, coupled with a prolific visualization and analytic solution, is what makes these Looker Blocks so unique. They assist in generating those contextualized insights which are paramount to a resilient service and a healthy business. These Looker Blocks can help technical operations make configuration or other changes to ensure viewers get the best viewing experience. And the Blocks can provide executives insight into the business performance of their service-from subscription levels to advertising placement to viewer engagement.
Through these new Looker Blocks, customers of both Datazoom and Looker can accelerate their understanding of critical video streaming data. For OTT streaming operators, both Datazoom and Looker can be adapted and extended to meet whatever data and analytics needs arise.
Although these Looker Blocks focus on data captured by Datazoom from the player, Looker subscribers can modify and create new dashboards to correlate data from multiple sources, such as between the player and Content Delivery Network (CDN). This process enables a more robust picture of QoE, and can result in creating an actual root-cause analysis solution. Furthermore, the data collected from delivery and player components can show desirable viewer behavior (as it relates to increasing content consumption), subscribers who exhibit that behavior, and opportunities to nudge other users in that direction.
“Data is foundational to the growth of direct-to-consumer OTT offerings,” said Anil Jain, Managing Director,Media & Entertainment, Google Cloud.”As these services undergo rapid scale and global growth, the key to increasing revenue and expanding the lifetime value of consumers is having real-time operational insights to improve the consumer experience, inform business decisions, and measure KPIs. Through platforms like Datazoom and Google Cloud’s Looker, companies can advance their data strategies, turning information into actionable insights.”
“The Datazoom platform has been built to source data from the various parts of the streaming workflow for real-time consumption, such as within these Looker Blocks,” says Diane Strutner, Datazoom CEO. “Because Datazoom captures, standardizes, and correlates data sets relevant to OTT video, solutions like Looker can be easily leveraged to provide deep and vertically-specific analytics for the OTT streaming space.”
Recently, Datazoom announced one of the industry’s first end-to-end data collection, standardization and routing services for streamingCDN log data. Beyond CDN data, Datazoom also offers a Collectors for Video Players and a Video Player Data Dictionary with over 200 standardized data points. The company has plans to announce additional integrations before the end of the year.
For more information about these Looker Blocks, visit Datazoom.
About Datazoom
Datazoom is an enterprise Video Data Platform technology company that standardizes and enriches data for video teams and their technology partners. Through a variety of real-time data collection software and routing services, the Datazoom’s platform offers flexibility and transparency in data collection so that operations, engineering, product and business decisions can be made with confidence. Companies that drive revenue with video use Datazoom to democratize insight, decrease inefficiencies, and deliver captivating end-user experiences. Unlock your data’s Black Box at datazoom.io.
PR Contact
Diane Strutner
diane@datazoom.io
Datazoom Announces CDN Collector for Amazon CloudFront
New Collector Integration Facilitates The Real-time Analysis of Amazon CloudFront Performance Alongside Other CDN Logs and Video Playback Datasets for Content Owners
(New York, Jan 14, 2021) — Datazoom, the Real-time Video Data Platform, announced today the release of their integration with Amazon CloudFront, expanding upon their capabilities to capture, standardize, and route data from across the end-to-end workflow of video.
Recently, the company announced one of the industry’s first end-to-end data collection, standardization, and routing services for streaming Content Delivery Network (CDN) log data.
At the end of August, Amazon Web Services (AWS) announced the first Amazon CloudFront real-time logging solution. Datazoom’s integration with Amazon CloudFront leverages this release, and collects data via Amazon Kinesis Data Streams, standardizes the common data elements that appear in Datazoom’s CDN Data Dictionary, and delivers CloudFront CDN data to destinations including Amazon Simple Storage Service (Amazon S3), Splunk and Google BigQuery. Documentation on the setup process can be found here.
Furthermore, Amazon CloudFront supports the logging of query parameters, which customers can use to pass the client-side identifiers necessary to adhere to the Common Media Client Data spec (CTA-5004). This feature enables a granular matching between client-side experience data with the corresponding CDN telemetry.
“Our customers see value in examining CDN data alongside other data sets, such as client-side Quality of Experience (QoE) data. The ability to correlate these data sets helps in determining causation more easily. Our goal is to provide the best service possible to our customers, and this means facilitating ways for our customers to track the impact of Amazon CloudFront’s performance on their viewers’ experience,” said Nishit Sawhney, Head of Product Management for Amazon CloudFront, Amazon Web Services, Inc. “The joint analysis of CDN and player data helps customers monitor CDN and viewer experience in real-time and act swiftly. This is why we invested in creating a real-time logging solution, and why we support AWS Partners like Datazoom through the integration efforts.”
Creating access to correlatable data sets will unlock the ability to automate root cause analysis, and potentially enable streaming experiences that can adapt to availability changes or failures once detected. However, the effectiveness of those solutions will be predicated on having great data.
“Datazoom’s platform has been uniquely built to support the future of streaming,” says Datazoom CEO Diane Strutner. “The adoption and integration of machine-driven technologies that can provide optimization and issue prevention at scale will be stalled by a lack of real-time, standardized data from all relevant sources. This is the biggest challenge that exists in the streaming space, our integration with Amazon CloudFront brings us one step closer to this reality.”
Beyond CDN data, Datazoom also offers a Collectors for Video Players and a Video Player Data Dictionary with over 200 standardized data points and plans to announce additional integrations before the end of the year.
PR Contact
Diane Strutner
diane@datazoom.io
Datazoom Releases Google Ad Manager Data Enrichment Solution
New Data Enrichment Services Enables Ad-Supported Content Owners To Understand How Individual Users And Service Conditions Contribute To Revenue
(New York, Dec 16, 2020) — Datazoom, the Real-time Video Data Platform, announced today the release of a new data enrichment solution, which enriches data collected from their platform’s Player Collectors with revenue data from Google Ad Manager.
Even for streaming-first companies, challenges exist to extract the insights needed to take a data-driven approach to grow revenue and profitability. Although the pandemic has accelerated the need for streaming, and ad-supported streaming has experienced 300% growth, it’s estimated that traditional pay-TV companies only bring in one-sixth the revenue that linear TV households generate. Closing this gap will require better understanding of the driving forces behind the success or failure of monetization.
Bringing together data from multiple sources is a key objective for Datazoom’s video data platform; enabling data correlation and enrichment between sources unlocks insights that were previously inaccessible, difficult to uncover, or unusable with the delay caused by post-processing data at rest.
For today’s ad-supported content providers, the data which contains the value of an ad is still disjointed from the detailed user behavioral data collected at the player. This prevents content providers from uncovering the factors that most significantly impact monetization and attributing specific dollar values to individual ad units served to users. Some of the metrics that are unmeasurable today include:
Potential earnings for a specific user
Actual earnings for a specific user
Verifying the number of ads served, viewability, etc. as measured by the ad server
Measure the opportunity cost of QoE issues
Ultimately, this prevents content providers the ability to understand where the greatest opportunities exist for optimization and thus prioritize resources, updates, and fixes. Datazoom’s data enrichment solution for Google Ad Manager data enables publishers to finally answer these questions.
“Gaining access to this type of insight is a game changer. It allows us to finally better understand our earnings, create more accurate earning projections, and prioritize product, technology, and development efforts that can have the greatest impact on revenue generation,” said Alexander Savage, Head of Digital Analytics at ABS-CBN. “This new solution that we worked with Datazoom to define provides invaluable insights, and amplifies the value of the standardized event stream that we get using Datazoom’s core platform.”
The release of this solution represents Datazoom’s first data enrichment offering, a new capability for customers as they head into 2021.
“In order for AVOD services to stabilize, unlocking these types of insights will be invaluable to growing revenue and pushing for profitability in this space,” said Datazoom’s Chief Executive Officer, Diane Strutner. “As our platform evolves, Datazoom is focused on driving greater value for our customers, such as ABS-CBN.”
Beyond advertising events, Datazoom’s Collectors offer the ability to capture Quality of Experience (QoE), content, engagement and other data points from video players, as well as from CDNs. They also offer extensive Data Dictionaries for Player and CDN data with over 200 standardized data points. Standardized data can be streamed to an ecosystem of Connectors for solutions such as Amplitude, Azure Blob Storage, Datadog, Google Analytics, Google BigQuery, Amazon S3, Amazon Kinesis, and Splunk.
“Data enrichment is an important capability and takes us a step closer towards our goal of creating real-time, holistic, and integrated data sets for our customers and partners,” said Datazoom’s Director of Product, Bob Carlson. “We look forward to expanding our solutions in this area next year.”
PR Contact
Diane Strutner
diane@datazoom.io