Kochava
Established in 2011 as a pioneer among mobile measurement partners, Kochava now facilitates campaign tracking across all devices, channels, and audience segments. Leverage advanced multi-touch attribution, innovative marketing mix modeling, and continuous incremental measurement techniques to cultivate growth strategies that are both data-driven and respectful of privacy. Gain insights into which cross-channel methods effectively enhance customer acquisition and retention.
The platform boasts essential features such as comprehensive app attribution and analytics, cost and return on investment assessments, deep linking capabilities, marketing data management, ETL support, ad fraud detection, and a suite of strategic services. Kochava’s extensive library of software development kits (SDKs) ensures seamless measurement support across mobile applications, connected TVs, websites, and various other devices. With integrated solutions, clients can effortlessly activate and evaluate their campaigns on platforms like Google Ads, Meta, Apple Search Ads, X, Snap, Roku, LG Ads, Amazon Ads, NBCUniversal, TikTok for Business, Yahoo, and a multitude of additional ad networks, CTV platforms, and major publishers.
Adopt a privacy-centric measurement approach with comprehensive support for Apple’s SKAdNetwork on iOS, Google’s Privacy Sandbox on Android, and a forward-thinking marketing mix modeling platform that safeguards your measurement capabilities for the future. This commitment to privacy not only enhances data integrity but also builds trust with users, ensuring sustainable growth in an ever-evolving digital landscape.
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Google Cloud Platform
Google Cloud serves as an online platform where users can develop anything from basic websites to intricate business applications, catering to organizations of all sizes. New users are welcomed with a generous offer of $300 in credits, enabling them to experiment, deploy, and manage their workloads effectively, while also gaining access to over 25 products at no cost.
Leveraging Google's foundational data analytics and machine learning capabilities, this service is accessible to all types of enterprises and emphasizes security and comprehensive features. By harnessing big data, businesses can enhance their products and accelerate their decision-making processes. The platform supports a seamless transition from initial prototypes to fully operational products, even scaling to accommodate global demands without concerns about reliability, capacity, or performance issues. With virtual machines that boast a strong performance-to-cost ratio and a fully-managed application development environment, users can also take advantage of high-performance, scalable, and resilient storage and database solutions. Furthermore, Google's private fiber network provides cutting-edge software-defined networking options, along with fully managed data warehousing, data exploration tools, and support for Hadoop/Spark as well as messaging services, making it an all-encompassing solution for modern digital needs.
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Golioth
Golioth's IoT cloud platform stands out as a premier solution for IoT development, allowing contemporary engineering teams to swiftly create prototypes and oversee extensive fleets of IoT devices.
By prioritizing hardware within your continuous integration and continuous deployment (CI/CD) workflow, Golioth offers a cohesive API along with a device firmware software development kit (SDK) and a robust IoT ecosystem, empowering engineers to construct, integrate, and manage IoT solutions with ease.
This IoT cloud platform is uniquely designed to support your entire team, catering to hardware engineers, firmware developers, and cloud and data specialists alike, ensuring seamless collaboration and efficiency throughout the development process.
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Zetaris
Zetaris revolutionizes the analytics process by enabling real-time data analysis without the need to centralize it for examination. This cutting-edge method allows users to connect multiple databases and analyze them all at once, thus bypassing the usual delays and costs linked with data migration. Our unique analytical query optimizer ensures that every query performed across various data sources is both fast and scalable. By keeping the data in its original location, organizations can uphold rigorous data governance and security standards without the hassle of transferring information. Furthermore, there is no requirement for data extraction, transformation, or replication into a different repository, which greatly minimizes unnecessary storage and processing expenses. With this approach, you can adopt a more streamlined data management strategy that not only enhances operational efficiency but also strengthens security measures. Organizations can now focus on leveraging their data more effectively without the burdens of traditional data handling methods.
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