Data Context
Metric Relationships
Define relationships between metrics to include additional context and leverage additional analaysis capabilities. Metric relationships are defined through input and output metrics, in what is commonly known as a metric tree.Metric-Dimension Relationships
Example: If a user is Subscribed to a metric such as Revenue,
Metric-Dimension relationships allow our systems to pull in related context,
like the Dimensions we can use to slice Revenue (e.g., Revenue by Product,
Revenue by Country, etc.)
Business Context
Metadata for Business Objects
Attach metdata to Business Objects, such as metrics, dimensions, and artifacts. For metrics and dimensions defined in Push.ai, you can use descriptions, labels and owners to attach metadata and organize resources. Artifacts can include rich metadata such as document types, authors, and creation dates. Semantic layer integrations offer additional metadata capabilities that can be integrated with Push.ai.Goals
Note: If you’d like to input a large list of goals or would like to define
goals at the dimension level, you can reach out to
us and someone from our team can help you get set up.

