An asset is an object that contains usable information about your data or about processes that apply to your data. In a data quality context, an asset is an object that defines part or all of a data quality operation.
You can create the following assets in Data Quality or Data Integration: cleanse, deduplicate, parse, labeler, rule specification, and verifier. Add the assets to a Cleanse transformation, Deduplicate transformation, Parse transformation, Labeler transformation, Rule Specification transformation, and Verifier transformation respectively when you design a mapping in Data Integration.
You can also create dictionaries that other data quality assets can use. A dictionary is a table of reference data that a mapping can read to evaluate the accuracy or usefulness of source data.
You can use assets in multiple projects. All assets must be part of at least one project. If you create an asset without specifying a project, the asset is created in the default project.