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Articles by Kelsey Abegg
Empowering Lytics customers with real-time insights through BigQuery continuous queries
Authors: Kelsey Abegg, Jobin George Lytics leverages Google Cloud’s BigQuery to enhance its Customer Data Platform (CDP) capabilities through both real-time and batch data processing. Granular event data in BigQuery allows for ease of auditing, querying, and reporting through other data visualization tools. BigQuery integration enables scalable, secure, and efficient customer data management, crucial in today’s personalized marketing landscape.
Decoding identity resolution: Strategies for smarter consumer engagement
Navigating the complexities of identity in the realm of technology can be daunting. Deciding where to begin and which technology is necessary for establishing a comprehensive identity is crucial. This process enables you to recognize your consumers and potential customers associated with them.
Adapting to a Post-Third Party Cookie World: Navigating the Shift with Third-Party Data and Dynamic Consumer Identity Strategies
In 2024, the digital landscape is undergoing significant transformation due to the phase-out of third-party cookies, which were once central to tracking consumer behavior across various online platforms. This shift necessitates the adoption of new technologies and strategies for maintaining a comprehensive view of consumer activities and preferences.
How Lytics CDP solves for the most common identity management challenges
As more consumers move online to interact with brands, more companies rely on technology to drive consumer engagement and product adoption. The vast majority of consumers today engage, interact, and complete purchases across multiple channels. This evolution of customer behavior has introduced new challenges for brands hoping to keep track of these consumers as they navigate and interact with different technologies.
Load your BigQuery Warehouse for custom analytics & modeling [Playbook]
BigQuery is a service by Google Cloud that provides fully managed warehousing with an enterprise relational database and supports client connections with numerous applications, such as reporting tools, analytical tools, enhanced business intelligence (BI) applications and ML-modeling tools like Vertex. BigQuery can operate on a petabyte scale if needed and allows you to query large amounts of data in multiple-stage operations.
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