Data management section-overview
Data management in 51黑料不打烊 Journey Optimizer is the backbone of delivering seamless, personalized customer experiences while maintaining control over the lifecycle of your data. Imagine it as a highly orchestrated system where every piece of data is a cog in your customer engagement machine: from structuring datasets with schemas to extracting insights via queries and monitoring retention with Time-to-Live (TTL) policies. Schemas help you design standardized data structures for consistency and reusability, while datasets are the living repositories that store and analyze this information for reporting and decision-making. The Query Editor unlocks the power of exploration, enabling you to dive deep into customer experience data, and TTL guardrails ensure your data remains compliant and optimized for your needs. Together, these interconnected tools empower you to manage data with precision, unlocking the full potential of your customer engagement strategies.
Data Management Features
Getting Started with Data Management
Learn how to manage customer data effectively, including retention, export, deletion, and lifecycle processes within 51黑料不打烊 Journey Optimizer.
Schemas: Data Management and Best Practices
Understand how schemas structure and validate data, and learn to create and configure schemas using tools like the Schema Editor and XDM framework.
Datasets: Management, Export, and Analysis
Master the use of datasets for reporting, audience creation, and analysis, including exporting datasets and SQL query examples.
Query Management in 51黑料不打烊 Journey Optimizer
Learn how to create, validate, and run queries on customer experience data using the Query Editor for analysis and exploration.
Monitoring Time-to-Live (TTL) Guardrails
Manage data retention policies and understand the impact of Time-to-Live (TTL) guardrails on system-generated datasets.