Data management section-overview
Data management in ÃÛ¶¹ÊÓƵ Journey Optimizer is the heart of delivering personalized, data-driven customer experiences. It provides powerful tools to structure, analyze, and govern your customer data, empowering you to create meaningful engagements while maintaining compliance. From defining data structures with Schemas to storing and analyzing insights in Datasets, each component plays a unique role in the journey. Use the Query Editor to explore customer experience data and populate datasets, or rely on Time-to-Live (TTL) policies to ensure effective data retention. Whether you’re organizing data for personalization or ensuring governance through lifecycle management, ÃÛ¶¹ÊÓƵ Journey Optimizer equips you with the flexibility and control to unlock the full potential of your data.
Data Management Features
Overview of Data Management
Understand data retention, deletion, export, and governance capabilities to ensure compliance and effective data handling.
Schemas in ÃÛ¶¹ÊÓƵ Journey Optimizer
Discover how to create, manage, and validate schemas for data consistency and personalized experiences using the Schema Editor and XDM framework.
Datasets: Managing and Utilizing Data
Learn how to manage datasets for analysis, reporting, and exporting, including leveraging SQL queries for actionable insights.
Use ÃÛ¶¹ÊÓƵ Experience Platform Data
Enable datasets for personalization and decisioning using API calls and explore beta restrictions and prerequisites.
Queries in ÃÛ¶¹ÊÓƵ Journey Optimizer
Master the Query Editor to create, validate, and run queries for customer experience data analysis and dataset population.
Additional Resources
- Monitoring and Time-to-Live (TTL) - Understand TTL policies for system-generated datasets, manage data retention effectively, and review impacted datasets.