You can now enrich any imported dataset—like transactions, product data or user data—by automatically matching it with reference data from Synerise Catalogs. It’s all available directly in the Automation module, where transformations and enrichment become a seamless step in your data ingestion process.
In any Data Transformation workflow, you can now insert an enrichment step that pulls contextual data from a selected catalog. Match records by any identifier (e.g., shop_id, user_id, etc.) and enrich your dataset with additional fields from the catalog, like:
And more—fully configurable, no code required.
You decide which column in your import file should be used for the match. The Automation workflow looks into the selected catalog and enriches only matching records. Unmatched records pass through untouched.
You control which attributes from the catalog are added to your data. This way, every enrichment step is tailored to the exact context of your workflow.
You can now enrich any imported dataset—like transactions, product data or user data—by automatically matching it with reference data from Synerise Catalogs. It’s all available directly in the Automation module, where transformations and enrichment become a seamless step in your data ingestion process.
In any Data Transformation workflow, you can now insert an enrichment step that pulls contextual data from a selected catalog. Match records by any identifier (e.g., shop_id, user_id, etc.) and enrich your dataset with additional fields from the catalog, like:
And more—fully configurable, no code required.
You decide which column in your import file should be used for the match. The Automation workflow looks into the selected catalog and enriches only matching records. Unmatched records pass through untouched.
You control which attributes from the catalog are added to your data. This way, every enrichment step is tailored to the exact context of your workflow.
