In this case study, discover how Syntasa’s platform is enabling data scientists at a global airline to automatically ingest behavioral data and build propensity models.
Digital behavior isn’t like the other data that you’re used to. Its scale and complexity sink most projects. Learn how to keep your behavioral data pipelines afloat.
A global sportswear brand consolidates digital activity data across countries and platforms, enabling analysts provide a complete picture of their visitors’ journeys.
Bring Adobe Analytics clickstream data into your enterprise big data environment, quickly and easily.
Sheryl Kingstone, Research VP of Customer Experience & Commerce at 451 Research, discusses the role of data in improving the customer experience.
In this case study, read about how a global media company uses analytics for better customer insight.
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.
