♊️ GemiNews 🗞️
(dev)
🏡
📰 Articles
🏷️ Tags
🧠 Queries
📈 Graphs
☁️ Stats
💁🏻 Assistant
💬
🎙️
Demo 1: Embeddings + Recommendation
Demo 2: Bella RAGa
Demo 3: NewRetriever
Demo 4: Assistant function calling
Editing article
Title
Summary
<div class="block-paragraph_advanced"><p><strong style="font-style: italic; vertical-align: baseline;">Editor’s note</strong><span style="font-style: italic; vertical-align: baseline;">: The post is part of a series showcasing tech companies and data providers that are </span><a href="https://cloud.google.com/solutions/data-cloud-isvs"><span style="font-style: italic; text-decoration: underline; vertical-align: baseline;">Built with BigQuery</span></a><span style="font-style: italic; vertical-align: baseline;">.</span></p> <hr/> <p><span style="vertical-align: baseline;">In recent years, changes in consumer privacy regulations have created disruption within the media and advertising ecosystem. Publishers have felt some of the biggest impact, needing to change the way they think about ad monetization so they can continue to respe</span><span style="vertical-align: baseline;">ct u</span><span style="vertical-align: baseline;">ser privacy, reduce reliance on third parties, and build sustainable revenue growth. </span></p> <p><span style="vertical-align: baseline;">Key to helping publishers navigate these challenges is their data management and collaboration technologies, which enable them to utilize private identity data, extract meaningful business insights, and safely scale data activation. </span></p> <p><a href="https://www.optable.co/" rel="noopener" target="_blank"><span style="text-decoration: underline; vertical-align: baseline;">Optable</span></a><span style="vertical-align: baseline;"> is the maker of an end-to-end data clean room platform for the advertising industry that integrates with </span><a href="https://cloud.google.com/bigquery?hl=en"><span style="text-decoration: underline; vertical-align: baseline;">BigQuery</span></a><span style="vertical-align: baseline;"> and enables audience activation and insights through connections with downstream systems.</span></p> <h3><strong style="vertical-align: baseline;">Optimizing data management for monetization </strong></h3> <p><span style="vertical-align: baseline;">The methods and systems that support audience-focused ad planning, activation, and measurement have undergone a massive shift. As a result, publishers are needing to reevaluate their data strategies, shifting their investments to cloud computing and big data. Unfortunately, a lack of innovation in data management platforms (DMPs) for publishers has stifled revenue growth and created inefficiencies in operations. This lack of ROI in legacy DMPs comes from the following challenges:</span></p> <ol> <li role="presentation"><strong style="vertical-align: baseline;">Platforms can’t deliver insights across known users, anonymous traffic, and ad data. </strong><span style="vertical-align: baseline;">A shift across the media landscape to subscription-based approaches and user consent has meant publishers have an influx of first-party data from their audiences. This change means they need new types of privacy-centric tools to not only manage this data, but also combine it with other datasets to derive insights for both internal business operations as well as advertising partners.</span></li> <li role="presentation"><strong style="vertical-align: baseline;">Identity management can consume the limited resources of modern publishers and media companies</strong><span style="vertical-align: baseline;">. As media consumption has continued to fragment, identifying your audience to deliver relevant media and advertising has become a struggle. Many customer data platforms (CDPs) and legacy DMPs rely on systems that are too rigid and profile-based. This makes it difficult to understand true audience reach and attributes, and leaves analytics teams with incomplete or error-prone data sets.</span></li> <li role="presentation"><strong style="vertical-align: baseline;">There’s a lack of privacy-centric data monetization tools and integrations for publishers</strong><span style="vertical-align: baseline;">. Given the rapid onset of privacy changes, many publishers are navigating a </span><a href="https://adage.com/article/opinion/digital-marketing-2024-how-privacy-hurdles-and-signal-loss-will-drive-innovation-across-industry/2542421" rel="noopener" target="_blank"><span style="text-decoration: underline; vertical-align: baseline;">reduction in addressability, signal loss, and programmatic revenues</span></a><span style="vertical-align: baseline;">. Current technologies lack interoperability with second-party datasets, advertising ID providers, and ad delivery systems to support direct sales growth.</span></li> <li role="presentation"><strong style="vertical-align: baseline;">Legacy solutions are not extendable and interoperable across a growing cloud ecosystem</strong><span style="vertical-align: baseline;">.</span><strong style="vertical-align: baseline;"> </strong><span style="vertical-align: baseline;">Data management solutions have not kept up with innovation in the cloud computing ecosystem. This makes data extensibility into native cloud tools for things like modeling, custom queries and data visualization is difficult without cumbersome data copying. Additionally, most data management platforms lack native functionality with cloud-based clean room capabilities, such as data analysis rules and egress restrictions, across all major cloud providers. </span></li> </ol> <h3><strong style="vertical-align: baseline;">Privacy-safe addressable ad products for publishers</strong></h3></div> <div class="block-image_full_width"> <div class="article-module h-c-page"> <div class="h-c-grid"> <figure class="article-image--large h-c-grid__col h-c-grid__col--6 h-c-grid__col--offset-3 " > <img src="https://storage.googleapis.com/gweb-cloudblog-publish/images/1._Optable_Overview.max-1000x1000.png" alt="1. Optable Overview"> </a> </figure> </div> </div> </div> <div class="block-paragraph_advanced"><p><span style="vertical-align: baseline;">Optable is a next-generation data management and collaboration platform that is privacy-focused by design and built to harness the power of today's big data and cloud computing ecosystem. To achieve this, Optable focuses on three key areas of innovation.</span></p> <p role="presentation"><span style="vertical-align: baseline;">1. </span><strong style="vertical-align: baseline;">Composable identity</strong><span style="vertical-align: baseline;"> <br/></span><span style="vertical-align: baseline;">The Optable platform simplifies the complexities of processing and analyzing audience identity data in the age of privacy. By creating a flexible identity system, publishers can shape their audience graph for maximum accuracy and addressability. Optable also makes it easy to connect alternative identifiers such as UID 2.0 or ID5 to your audience data so that you can understand the full spectrum of advertiser demand and maximize revenue. It’s also straightforward to enrich audience data through connecting to second-party data sources, such as </span><a href="https://www.truedata.co/" rel="noopener" target="_blank"><span style="text-decoration: underline; vertical-align: baseline;">True Data</span></a><span style="vertical-align: baseline;">.</span></p> <p role="presentation"><span style="vertical-align: baseline;">2. </span><strong style="vertical-align: baseline;">Interoperability focused on monetization<br/></strong><span style="vertical-align: baseline;">Optable makes monetization easy. It’s built the tools and integrations needed to keep up with programmatic ad-tech ecosystem changes. Audience data is fully interoperable through the Google Cloud ecosystem (and beyond), which means it’s easier to activate through ad servers like </span><a href="https://admanager.google.com/intl/en_uk/home/" rel="noopener" target="_blank"><span style="text-decoration: underline; vertical-align: baseline;">Google Ad Manager</span></a><span style="vertical-align: baseline;"> (GAM) or </span><a href="https://marketingplatform.google.com/intl/en_uk/about/display-video-360/" rel="noopener" target="_blank"><span style="text-decoration: underline; vertical-align: baseline;">Google DV 360</span></a><span style="vertical-align: baseline;">, or use pre-built clean room applications within BigQuery. This combination means that direct sales and ad operations teams can quickly and easily move from ad partner planning, to audience building and insights, to actual campaign activation.</span></p></div> <div class="block-image_full_width"> <div class="article-module h-c-page"> <div class="h-c-grid"> <figure class="article-image--large h-c-grid__col h-c-grid__col--6 h-c-grid__col--offset-3 " > <img src="https://storage.googleapis.com/gweb-cloudblog-publish/images/2._Optable_Data_flow.max-1000x1000.png" alt="2. Optable Data flow"> </a> </figure> </div> </div> </div> <div class="block-paragraph_advanced"><p role="presentation"><span style="vertical-align: baseline;">3. </span><strong style="vertical-align: baseline;">Audience insights across all known users and event traffic</strong><span style="vertical-align: baseline;"> <br/></span><span style="vertical-align: baseline;">Audience building and analysis with Optable provides a comprehensive 360-degree view without the massive upfront engineering that’s usually required. By allowing audiences to be created, synthesized, and managed using both known user data as well as anonymous events (such as page visits or ad serving events from GAM), operational teams can glean meaningful insights, service unique requests from ad partners, and optimize campaign performance. For example, in the image below, Optable Insights shows customers key information about the size and makeup of their private identity graph as well as the makeup of Traits across their audience.</span></p></div> <div class="block-image_full_width"> <div class="article-module h-c-page"> <div class="h-c-grid"> <figure class="article-image--large h-c-grid__col h-c-grid__col--6 h-c-grid__col--offset-3 " > <img src="https://storage.googleapis.com/gweb-cloudblog-publish/images/3._Optable_Insights_Screenshot.max-1000x1000.png" alt="3. Optable Insights Screenshot"> </a> </figure> </div> </div> </div> <div class="block-paragraph_advanced"><p><span style="vertical-align: baseline;">One of Optable’s early customers, a major North American news publisher, developed a digital-first publication strategy in 2017. As part of this they built an ad-sales strategy focused on privacy-safe first-party data monetization. A key pillar to their strategy is data collaboration through Optable. Through this investment they achieved a 9% annual increase in ad revenue in 2022.</span></p> <h3><strong style="vertical-align: baseline;">How Optable creates growth and efficiency</strong></h3> <p><span style="vertical-align: baseline;">Optable on BigQuery empowers publishers to monetize their data assets, even if they lack engineering resources</span><span style="vertical-align: baseline;">. </span><span style="vertical-align: baseline;">Optable provides the right tools and integrations so teams can use their data to create ad products. For example, audience data can be exported directly into </span><a href="https://support.google.com/google-ads/answer/14639041?hl=en-GB" rel="noopener" target="_blank"><span style="text-decoration: underline; vertical-align: baseline;">Google Ads Data Manager</span></a><span style="vertical-align: baseline;"> for easy activation.</span></p> <p><span style="vertical-align: baseline;">The data clean room is one of the most important technologies in the media and advertising space. The Optable platform gives publishers pre-built applications that are powered by BigQuery data clean room primitives and APIs. These can also easily be extended to power secure data collaboration across other cloud ecosystems using Optable’s ‘Flash Nodes’ and ‘Flash Connectors.’ Flash Nodes allow companies to invite partners to easily onboard their data into a limited version of Optable simply for the purpose of collaborating with that partner; this reduces the friction of setting up a whole new collaboration platform. Likewise, ‘Flash Connectors’ give companies a set of primitives that can be shared with partners who use AWS, Snowflake, and BigQuery so that Optable users can collaborate directly with partners who house their data in those environments without moving any data.</span></p> <p><span style="vertical-align: baseline;">Rather than just focusing on moving data in and out, Optable’s platform is built for a data-warehouse centric world, so publishers can extend their capabilities. Identity graphs can be shaped and custom modeling easily deployed directly in BigQuery. Additionally, the capabilities of the Google Data Cloud enable custom use cases such as data visualization in </span><a href="https://cloud.google.com/looker?hl=en"><span style="text-decoration: underline; vertical-align: baseline;">Looker</span></a><span style="vertical-align: baseline;">. To help navigate data security compliance, Optable has built ‘Bring Your Own Account’ functionality to allow customers to utilize a Google BigQuery instance that’s fully controllable.</span></p></div> <div class="block-image_full_width"> <div class="article-module h-c-page"> <div class="h-c-grid"> <figure class="article-image--large h-c-grid__col h-c-grid__col--6 h-c-grid__col--offset-3 " > <img src="https://storage.googleapis.com/gweb-cloudblog-publish/images/4._Optable_Marketecture.max-1000x1000.png" alt="4. Optable Marketecture"> </a> </figure> </div> </div> </div> <div class="block-paragraph_advanced"><p><span style="vertical-align: baseline;">Optable partners with Google across many areas, including a new integration with the </span><a href="https://developers.google.com/privacy-sandbox" rel="noopener" target="_blank"><span style="text-decoration: underline; vertical-align: baseline;">Google Privacy Sandbox</span></a><span style="vertical-align: baseline;"> APIs that enable publishers to easily onboard and activate audiences as well as enabling marketers to run campaigns via Privacy Sandbox. An early access program enables these capabilities directly through the Optable platform. You can </span><a href="https://www.optable.co/google-privacy-sandbox" rel="noopener" target="_blank"><span style="text-decoration: underline; vertical-align: baseline;">learn more here</span></a><span style="vertical-align: baseline;">.</span></p> <p><span style="vertical-align: baseline;">Later this year, Optable is announcing enhancements to its audience data management and collaboration capabilities, including support for ad serving events through Google Ad Manager and the release of the Google BigQuery Connector to allow for zero-copy partner collaboration. For more information on these and other capabilities please visit the </span><a href="https://www.optable.co/" rel="noopener" target="_blank"><span style="text-decoration: underline; vertical-align: baseline;">Optable website</span></a><span style="vertical-align: baseline;">. </span></p> <p><span style="vertical-align: baseline;">Optable also recently became a</span><a href="https://cloud.google.com/marketplace?hl=en"><span style="text-decoration: underline; vertical-align: baseline;"> Google Cloud Marketplace</span></a><span style="vertical-align: baseline;"> vendor, so Google Cloud customers can now purchase and implement Optable’s platform directly. Following the recently announced </span><a href="https://cloud.google.com/blog/products/data-analytics/bigquery-data-clean-rooms-now-generally-available?e=48754805#:~:text=To%20facilitate%20this%20type%20of,to%20protect%20the%20underlying%20data."><span style="text-decoration: underline; vertical-align: baseline;">general availability of BigQuery data clean rooms</span></a><span style="vertical-align: baseline;">, the Optable and Google teams are working on an integration to unlock more planning, activation and measurement use cases for the media and advertising ecosystem.</span></p> <h3><strong style="vertical-align: baseline;">The Built with BigQuery advantage</strong></h3> <p><span style="vertical-align: baseline;">Built with BigQuery helps companies like Optable build innovative applications with Google Data Cloud. Participating companies can: </span></p> <ul> <li aria-level="1" style="list-style-type: disc; vertical-align: baseline;"> <p role="presentation"><span style="vertical-align: baseline;">Accelerate product design and architecture through access to designated experts who can provide insight into key use cases, architectural patterns, and best practices. </span></p> </li> <li aria-level="1" style="list-style-type: disc; vertical-align: baseline;"> <p role="presentation"><span style="vertical-align: baseline;">Amplify success with joint marketing programs to drive awareness, generate demand, and increase adoption. </span></p> </li> </ul> <p><span style="vertical-align: baseline;">BigQuery gives ISVs the advantage of a powerful, highly scalable unified AI lakehouse that’s integrated with Google Cloud’s open, secure, sustainable platform. </span><a href="https://cloud.google.com/solutions/data-cloud-isvs"><span style="text-decoration: underline; vertical-align: baseline;">Click here to learn more about Built with BigQuery</span></a></p></div>
Content
empty
Author
Link
Published date
Image url
Feed url
Guid
Hidden blurb
--- !ruby/object:Feedjira::Parser::RSSEntry title: 'Built with BigQuery: Making data activation and monetization accessible with Optable' rss_fields: - summary - author - url - title - categories - published - entry_id summary: "<div class=\"block-paragraph_advanced\"><p><strong style=\"font-style: italic; vertical-align: baseline;\">Editor’s note</strong><span style=\"font-style: italic; vertical-align: baseline;\">: The post is part of a series showcasing tech companies and data providers that are </span><a href=\"https://cloud.google.com/solutions/data-cloud-isvs\"><span style=\"font-style: italic; text-decoration: underline; vertical-align: baseline;\">Built with BigQuery</span></a><span style=\"font-style: italic; vertical-align: baseline;\">.</span></p>\n<hr/>\n<p><span style=\"vertical-align: baseline;\">In recent years, changes in consumer privacy regulations have created disruption within the media and advertising ecosystem. Publishers have felt some of the biggest impact, needing to change the way they think about ad monetization so they can continue to respe</span><span style=\"vertical-align: baseline;\">ct u</span><span style=\"vertical-align: baseline;\">ser privacy, reduce reliance on third parties, and build sustainable revenue growth. </span></p>\n<p><span style=\"vertical-align: baseline;\">Key to helping publishers navigate these challenges is their data management and collaboration technologies, which enable them to utilize private identity data, extract meaningful business insights, and safely scale data activation. </span></p>\n<p><a href=\"https://www.optable.co/\" rel=\"noopener\" target=\"_blank\"><span style=\"text-decoration: underline; vertical-align: baseline;\">Optable</span></a><span style=\"vertical-align: baseline;\"> is the maker of an end-to-end data clean room platform for the advertising industry that integrates with </span><a href=\"https://cloud.google.com/bigquery?hl=en\"><span style=\"text-decoration: underline; vertical-align: baseline;\">BigQuery</span></a><span style=\"vertical-align: baseline;\"> and enables audience activation and insights through connections with downstream systems.</span></p>\n<h3><strong style=\"vertical-align: baseline;\">Optimizing data management for monetization </strong></h3>\n<p><span style=\"vertical-align: baseline;\">The methods and systems that support audience-focused ad planning, activation, and measurement have undergone a massive shift. As a result, publishers are needing to reevaluate their data strategies, shifting their investments to cloud computing and big data. Unfortunately, a lack of innovation in data management platforms (DMPs) for publishers has stifled revenue growth and created inefficiencies in operations. This lack of ROI in legacy DMPs comes from the following challenges:</span></p>\n<ol>\n<li role=\"presentation\"><strong style=\"vertical-align: baseline;\">Platforms can’t deliver insights across known users, anonymous traffic, and ad data. </strong><span style=\"vertical-align: baseline;\">A shift across the media landscape to subscription-based approaches and user consent has meant publishers have an influx of first-party data from their audiences. This change means they need new types of privacy-centric tools to not only manage this data, but also combine it with other datasets to derive insights for both internal business operations as well as advertising partners.</span></li>\n<li role=\"presentation\"><strong style=\"vertical-align: baseline;\">Identity management can consume the limited resources of modern publishers and media companies</strong><span style=\"vertical-align: baseline;\">. As media consumption has continued to fragment, identifying your audience to deliver relevant media and advertising has become a struggle. Many customer data platforms (CDPs) and legacy DMPs rely on systems that are too rigid and profile-based. This makes it difficult to understand true audience reach and attributes, and leaves analytics teams with incomplete or error-prone data sets.</span></li>\n<li role=\"presentation\"><strong style=\"vertical-align: baseline;\">There’s a lack of privacy-centric data monetization tools and integrations for publishers</strong><span style=\"vertical-align: baseline;\">. Given the rapid onset of privacy changes, many publishers are navigating a </span><a href=\"https://adage.com/article/opinion/digital-marketing-2024-how-privacy-hurdles-and-signal-loss-will-drive-innovation-across-industry/2542421\" rel=\"noopener\" target=\"_blank\"><span style=\"text-decoration: underline; vertical-align: baseline;\">reduction in addressability, signal loss, and programmatic revenues</span></a><span style=\"vertical-align: baseline;\">. Current technologies lack interoperability with second-party datasets, advertising ID providers, and ad delivery systems to support direct sales growth.</span></li>\n<li role=\"presentation\"><strong style=\"vertical-align: baseline;\">Legacy solutions are not extendable and interoperable across a growing cloud ecosystem</strong><span style=\"vertical-align: baseline;\">.</span><strong style=\"vertical-align: baseline;\"> </strong><span style=\"vertical-align: baseline;\">Data management solutions have not kept up with innovation in the cloud computing ecosystem. This makes data extensibility into native cloud tools for things like modeling, custom queries and data visualization is difficult without cumbersome data copying. Additionally, most data management platforms lack native functionality with cloud-based clean room capabilities, such as data analysis rules and egress restrictions, across all major cloud providers. </span></li>\n</ol>\n<h3><strong style=\"vertical-align: baseline;\">Privacy-safe addressable ad products for publishers</strong></h3></div>\n<div class=\"block-image_full_width\">\n\n\n\n\n\n\n \n <div class=\"article-module h-c-page\">\n <div class=\"h-c-grid\">\n \n\n <figure class=\"article-image--large\n \ \n \n h-c-grid__col\n h-c-grid__col--6 h-c-grid__col--offset-3\n \ \n \n \"\n >\n\n \n \n \n <img\n \ src=\"https://storage.googleapis.com/gweb-cloudblog-publish/images/1._Optable_Overview.max-1000x1000.png\"\n \ \n alt=\"1. Optable Overview\">\n \n </a>\n \n \ </figure>\n\n \n </div>\n </div>\n \n\n\n\n\n</div>\n<div class=\"block-paragraph_advanced\"><p><span style=\"vertical-align: baseline;\">Optable is a next-generation data management and collaboration platform that is privacy-focused by design and built to harness the power of today's big data and cloud computing ecosystem. To achieve this, Optable focuses on three key areas of innovation.</span></p>\n<p role=\"presentation\"><span style=\"vertical-align: baseline;\">1. </span><strong style=\"vertical-align: baseline;\">Composable identity</strong><span style=\"vertical-align: baseline;\"> <br/></span><span style=\"vertical-align: baseline;\">The Optable platform simplifies the complexities of processing and analyzing audience identity data in the age of privacy. By creating a flexible identity system, publishers can shape their audience graph for maximum accuracy and addressability. Optable also makes it easy to connect alternative identifiers such as UID 2.0 or ID5 to your audience data so that you can understand the full spectrum of advertiser demand and maximize revenue. It’s also straightforward to enrich audience data through connecting to second-party data sources, such as </span><a href=\"https://www.truedata.co/\" rel=\"noopener\" target=\"_blank\"><span style=\"text-decoration: underline; vertical-align: baseline;\">True Data</span></a><span style=\"vertical-align: baseline;\">.</span></p>\n<p role=\"presentation\"><span style=\"vertical-align: baseline;\">2. </span><strong style=\"vertical-align: baseline;\">Interoperability focused on monetization<br/></strong><span style=\"vertical-align: baseline;\">Optable makes monetization easy. It’s built the tools and integrations needed to keep up with programmatic ad-tech ecosystem changes. Audience data is fully interoperable through the Google Cloud ecosystem (and beyond), which means it’s easier to activate through ad servers like </span><a href=\"https://admanager.google.com/intl/en_uk/home/\" rel=\"noopener\" target=\"_blank\"><span style=\"text-decoration: underline; vertical-align: baseline;\">Google Ad Manager</span></a><span style=\"vertical-align: baseline;\"> (GAM) or </span><a href=\"https://marketingplatform.google.com/intl/en_uk/about/display-video-360/\" rel=\"noopener\" target=\"_blank\"><span style=\"text-decoration: underline; vertical-align: baseline;\">Google DV 360</span></a><span style=\"vertical-align: baseline;\">, or use pre-built clean room applications within BigQuery. This combination means that direct sales and ad operations teams can quickly and easily move from ad partner planning, to audience building and insights, to actual campaign activation.</span></p></div>\n<div class=\"block-image_full_width\">\n\n\n\n\n\n\n \n <div class=\"article-module h-c-page\">\n <div class=\"h-c-grid\">\n \n\n <figure class=\"article-image--large\n \ \n \n h-c-grid__col\n h-c-grid__col--6 h-c-grid__col--offset-3\n \ \n \n \"\n >\n\n \n \n \n <img\n \ src=\"https://storage.googleapis.com/gweb-cloudblog-publish/images/2._Optable_Data_flow.max-1000x1000.png\"\n \ \n alt=\"2. Optable Data flow\">\n \n </a>\n \n \ </figure>\n\n \n </div>\n </div>\n \n\n\n\n\n</div>\n<div class=\"block-paragraph_advanced\"><p role=\"presentation\"><span style=\"vertical-align: baseline;\">3. </span><strong style=\"vertical-align: baseline;\">Audience insights across all known users and event traffic</strong><span style=\"vertical-align: baseline;\"> <br/></span><span style=\"vertical-align: baseline;\">Audience building and analysis with Optable provides a comprehensive 360-degree view without the massive upfront engineering that’s usually required. By allowing audiences to be created, synthesized, and managed using both known user data as well as anonymous events (such as page visits or ad serving events from GAM), operational teams can glean meaningful insights, service unique requests from ad partners, and optimize campaign performance. For example, in the image below, Optable Insights shows customers key information about the size and makeup of their private identity graph as well as the makeup of Traits across their audience.</span></p></div>\n<div class=\"block-image_full_width\">\n\n\n\n\n\n\n \ \n <div class=\"article-module h-c-page\">\n <div class=\"h-c-grid\">\n \ \n\n <figure class=\"article-image--large\n \n \n h-c-grid__col\n \ h-c-grid__col--6 h-c-grid__col--offset-3\n \n \n \"\n \ >\n\n \n \n \n <img\n src=\"https://storage.googleapis.com/gweb-cloudblog-publish/images/3._Optable_Insights_Screenshot.max-1000x1000.png\"\n \ \n alt=\"3. Optable Insights Screenshot\">\n \n </a>\n \ \n </figure>\n\n \n </div>\n </div>\n \n\n\n\n\n</div>\n<div class=\"block-paragraph_advanced\"><p><span style=\"vertical-align: baseline;\">One of Optable’s early customers, a major North American news publisher, developed a digital-first publication strategy in 2017. As part of this they built an ad-sales strategy focused on privacy-safe first-party data monetization. A key pillar to their strategy is data collaboration through Optable. Through this investment they achieved a 9% annual increase in ad revenue in 2022.</span></p>\n<h3><strong style=\"vertical-align: baseline;\">How Optable creates growth and efficiency</strong></h3>\n<p><span style=\"vertical-align: baseline;\">Optable on BigQuery empowers publishers to monetize their data assets, even if they lack engineering resources</span><span style=\"vertical-align: baseline;\">. </span><span style=\"vertical-align: baseline;\">Optable provides the right tools and integrations so teams can use their data to create ad products. For example, audience data can be exported directly into </span><a href=\"https://support.google.com/google-ads/answer/14639041?hl=en-GB\" rel=\"noopener\" target=\"_blank\"><span style=\"text-decoration: underline; vertical-align: baseline;\">Google Ads Data Manager</span></a><span style=\"vertical-align: baseline;\"> for easy activation.</span></p>\n<p><span style=\"vertical-align: baseline;\">The data clean room is one of the most important technologies in the media and advertising space. The Optable platform gives publishers pre-built applications that are powered by BigQuery data clean room primitives and APIs. These can also easily be extended to power secure data collaboration across other cloud ecosystems using Optable’s ‘Flash Nodes’ and ‘Flash Connectors.’ Flash Nodes allow companies to invite partners to easily onboard their data into a limited version of Optable simply for the purpose of collaborating with that partner; this reduces the friction of setting up a whole new collaboration platform. Likewise, ‘Flash Connectors’ give companies a set of primitives that can be shared with partners who use AWS, Snowflake, and BigQuery so that Optable users can collaborate directly with partners who house their data in those environments without moving any data.</span></p>\n<p><span style=\"vertical-align: baseline;\">Rather than just focusing on moving data in and out, Optable’s platform is built for a data-warehouse centric world, so publishers can extend their capabilities. Identity graphs can be shaped and custom modeling easily deployed directly in BigQuery. Additionally, the capabilities of the Google Data Cloud enable custom use cases such as data visualization in </span><a href=\"https://cloud.google.com/looker?hl=en\"><span style=\"text-decoration: underline; vertical-align: baseline;\">Looker</span></a><span style=\"vertical-align: baseline;\">. To help navigate data security compliance, Optable has built ‘Bring Your Own Account’ functionality to allow customers to utilize a Google BigQuery instance that’s fully controllable.</span></p></div>\n<div class=\"block-image_full_width\">\n\n\n\n\n\n\n \ \n <div class=\"article-module h-c-page\">\n <div class=\"h-c-grid\">\n \ \n\n <figure class=\"article-image--large\n \n \n h-c-grid__col\n \ h-c-grid__col--6 h-c-grid__col--offset-3\n \n \n \"\n \ >\n\n \n \n \n <img\n src=\"https://storage.googleapis.com/gweb-cloudblog-publish/images/4._Optable_Marketecture.max-1000x1000.png\"\n \ \n alt=\"4. Optable Marketecture\">\n \n </a>\n \n \ </figure>\n\n \n </div>\n </div>\n \n\n\n\n\n</div>\n<div class=\"block-paragraph_advanced\"><p><span style=\"vertical-align: baseline;\">Optable partners with Google across many areas, including a new integration with the </span><a href=\"https://developers.google.com/privacy-sandbox\" rel=\"noopener\" target=\"_blank\"><span style=\"text-decoration: underline; vertical-align: baseline;\">Google Privacy Sandbox</span></a><span style=\"vertical-align: baseline;\"> APIs that enable publishers to easily onboard and activate audiences as well as enabling marketers to run campaigns via Privacy Sandbox. An early access program enables these capabilities directly through the Optable platform. You can </span><a href=\"https://www.optable.co/google-privacy-sandbox\" rel=\"noopener\" target=\"_blank\"><span style=\"text-decoration: underline; vertical-align: baseline;\">learn more here</span></a><span style=\"vertical-align: baseline;\">.</span></p>\n<p><span style=\"vertical-align: baseline;\">Later this year, Optable is announcing enhancements to its audience data management and collaboration capabilities, including support for ad serving events through Google Ad Manager and the release of the Google BigQuery Connector to allow for zero-copy partner collaboration. For more information on these and other capabilities please visit the </span><a href=\"https://www.optable.co/\" rel=\"noopener\" target=\"_blank\"><span style=\"text-decoration: underline; vertical-align: baseline;\">Optable website</span></a><span style=\"vertical-align: baseline;\">. </span></p>\n<p><span style=\"vertical-align: baseline;\">Optable also recently became a</span><a href=\"https://cloud.google.com/marketplace?hl=en\"><span style=\"text-decoration: underline; vertical-align: baseline;\"> Google Cloud Marketplace</span></a><span style=\"vertical-align: baseline;\"> vendor, so Google Cloud customers can now purchase and implement Optable’s platform directly. Following the recently announced </span><a href=\"https://cloud.google.com/blog/products/data-analytics/bigquery-data-clean-rooms-now-generally-available?e=48754805#:~:text=To%20facilitate%20this%20type%20of,to%20protect%20the%20underlying%20data.\"><span style=\"text-decoration: underline; vertical-align: baseline;\">general availability of BigQuery data clean rooms</span></a><span style=\"vertical-align: baseline;\">, the Optable and Google teams are working on an integration to unlock more planning, activation and measurement use cases for the media and advertising ecosystem.</span></p>\n<h3><strong style=\"vertical-align: baseline;\">The Built with BigQuery advantage</strong></h3>\n<p><span style=\"vertical-align: baseline;\">Built with BigQuery helps companies like Optable build innovative applications with Google Data Cloud. Participating companies can: </span></p>\n<ul>\n<li aria-level=\"1\" style=\"list-style-type: disc; vertical-align: baseline;\">\n<p role=\"presentation\"><span style=\"vertical-align: baseline;\">Accelerate product design and architecture through access to designated experts who can provide insight into key use cases, architectural patterns, and best practices. </span></p>\n</li>\n<li aria-level=\"1\" style=\"list-style-type: disc; vertical-align: baseline;\">\n<p role=\"presentation\"><span style=\"vertical-align: baseline;\">Amplify success with joint marketing programs to drive awareness, generate demand, and increase adoption. </span></p>\n</li>\n</ul>\n<p><span style=\"vertical-align: baseline;\">BigQuery gives ISVs the advantage of a powerful, highly scalable unified AI lakehouse that’s integrated with Google Cloud’s open, secure, sustainable platform. </span><a href=\"https://cloud.google.com/solutions/data-cloud-isvs\"><span style=\"text-decoration: underline; vertical-align: baseline;\">Click here to learn more about Built with BigQuery</span></a></p></div>" url: https://cloud.google.com/blog/products/data-analytics/optable-data-clean-room-platform-integrates-with-bigquery/ author: Bennett Crumbling published: 2024-05-13 16:00:00.000000000 Z carlessian_info: news_filer_version: 2 newspaper: Google Cloud Blog macro_region: Technology entry_id: !ruby/object:Feedjira::Parser::GloballyUniqueIdentifier guid: https://cloud.google.com/blog/products/data-analytics/optable-data-clean-room-platform-integrates-with-bigquery/ categories: - Data Analytics
Language
Active
Ricc internal notes
Imported via /usr/local/google/home/ricc/git/gemini-news-crawler/webapp/db/seeds.d/import-feedjira.rb on 2024-05-13 19:31:23 +0200. Content is EMPTY here. Entried: summary,author,url,title,categories,published,entry_id. TODO add Newspaper: filename = /usr/local/google/home/ricc/git/gemini-news-crawler/webapp/db/seeds.d/../../../crawler/out/feedjira/Technology/Google Cloud Blog/2024-05-13-Built_with_BigQuery:_Making_data_activation_and_monetization_acc-v2.yaml
Ricc source
Show this article
Back to articles