IT and marketing teams are facing data quality problems on Customer Data Platforms (CDP), regardless of the type of CDP they use. It can lead to poor marketing campaigns and a negative impact on your brand. However more teams today are adopting AI-based tools that can prevent data quality problems using anomaly detection.

In this on-demand webinar, we will demonstrate how anomaly detection can help IT and marketing professionals manage data quality issues and prevent them from happening in the future. We will highlight the difficulties involved in managing data quality in CDPs through a real-life example from Transparent Partners. We’ll show you how Lightup.ai helped Transparent Partners detect and report anomalies in real-time for a CDP like Tealium. 

You’ll learn how to: 

• Proactively address data quality issues in CDPs
• Use anomaly detection tools to detect and report anomalies in real-time
• Configure and use Lightup.ai to monitor the quality of data in CDPs
• Create metrics, monitors, and models in Lightup.ai
• Test the efficacy of models before publishing them live