Check out why Gartner named Syntasa a Cool Vendor in Personalization.
In this case study, read how a global retailer is driving innovation in both the products sold and the channels through which they are sold.
Use customer data with a behavioral context to discover the optimal path to conversion, retention, and profitability.
See how Lenovo’s business analytics team is simplifying complex datasets and making them actionable through the application of customized machine learning algorithms.
Hear from a data scientist at Lenovo, on how they’re using Syntasa to score purchasing intent, then segment and target customers at scale.
In this case study, read how Lenovo’s Business Intelligence team is working with Syntasa to score purchasing intent and build algorithmic models for retargeting.
A leading electronics retailer in the UK and Ireland partnered with Syntasa to transform its marketing and data operations amid increasing privacy regulations and rising customer expectations. By implementing Syntasa’s Composable CDP within its Google Cloud Platform environment, the retailer unlocked real-time insights, streamlined audience targeting, and activated AI-driven personalization—resulting in more than £100M in attributable revenue gains.
A global airline used Syntasa’s Composable CDP to unify loyalty, CRM, and behavioral data, enabling real-time identity resolution, predictive modeling, and automated audience activation. The result: improved ad performance, scalable personalization, and faster model deployment.
This resource introduces a Customer Data NL2SQL agent that translates natural language questions into SQL queries using AI. It enables business users to access complex customer insights without needing SQL expertise, while maintaining transparency and governance for technical teams.
This resource introduces a Customer Data NL2SQL agent that translates natural language questions into SQL queries using AI. It enables business users to access complex customer insights without needing SQL expertise, while maintaining transparency and governance for technical teams.
A state transportation agency used Syntasa’s Behavioral Sentiment Analytics to surface underserved communities and inform more equitable transportation planning through AI-powered insights.
Syntasa’s Speech-to-Text Solution converts audio into text, detects language, translates non-English text, and summarizes content with advanced machine learning. It integrates with Spark for efficient processing and automated monitoring. The solution includes sentiment and topic analysis, and real-time dashboards for easy tracking and visualization, providing deeper insights for data analysts.
