The Waitrose analytics team discusses “Creating Relevant Messaging with Google Cloud” starting at 29:29.
[Recording from Google Cloud Next ‘19 in London]
Attribution of media spend is a common problem shared by people in many different roles and industries. Many of the solutions that are simplest and easiest to implement don’t drive the right behavior. Tushar Mukherjee (Head of Ecommerce Analytics at Lenovo) shares practical lessons learned developing and applying multivariate attribution models at Lenovo.
[Recording from Strata Data Conference 2019]
In the latest instalment of the FinML meet-up we welcomed Apoorv Kashyap and Charmee Patel to discuss how to use digital behavioural data in ML-applications.
[Recording from FinML meet-up]
The state of the art in productionizing machine Learning models today primarily addresses building RESTful APIs. In the Digital Ecosystem, RESTful APIs are a necessary, but not sufficient, part of the complete solution for productionizing ML models.
[Recording from Spark + AI Summit 2019 Europe]
The California Office of Digital Innovation (ODI) supported the state’s COVID vaccine response with analytics that estimated vaccine hesitancy and guided the advertising strategy and allocation of the vaccine.
Traditional CDPs often fall short—delivering slow timelines, bloated systems, and delayed ROI. Syntasa’s Composable CDP changes the game with a warehouse-native, modular platform built to accelerate revenue from day one. This overview shows how leading retailers are using composable architecture to activate customer insights faster, personalize at scale, and drive measurable outcomes—all within their existing data warehouse.
Retail Media Networks (RMNs) are transforming how retailers monetize first-party data—but not all architectures are built to scale. This case study walks through the core decisions retailers must make to design a future-proof RMN. See why a composable, data-centric approach outperforms vendor-heavy models in cost, security, and long-term agility.
Learn how Syntasa helps marketers and analysts build and activate behavioral audience segments at scale—no coding required. See how smarter segmentation drives better results.
The World Bank partnered with Syntasa and Google Cloud to automate how it tracks and analyzes global FinTech innovation. Using Syntasa’s Sentiment Analytics Solution, the team replaced manual research with AI-powered pipelines, real-time dashboards, and multilingual sentiment analysis—all within a secure, private cloud environment.
A leading global electronics company partnered with Syntasa to replace rigid, rules-based retargeting with dynamic AI-powered audience segmentation. By implementing Syntasa’s Composable CDP, the company doubled conversion rates, cut ad spend by 42%, and expanded audience reach 9X—all without disrupting its existing MarTech stack.
A global electronics retailer partnered with Syntasa to streamline and automate the ingestion of complex data schemas into Adobe Experience Platform (AEP). By leveraging Syntasa’s Data Ready for CDPs solution, the team drastically cut schema creation time from days to under 30 minutes while enhancing data quality, reducing errors, and accelerating CDP deployment.
