Five important considerations when cataloging your data

Five important considerations when cataloging your data
admin | March 21st, 2016

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  1. Clearly define the objectives of your data catalog(s) such as:
    • Archiving
    • Discovery of data in support of information management and analytics initiatives
    • Digitalization
    • Understanding data lineage
    • Building knowledge and increasing data stewardship
  2. Mapping of technical metadata to business metadata in order to facilitate understanding of data
  3. Control access to the Data Catalog. A good data cataloging product should be able to support multiple personas and protect sensitive information.
  4. If you are enabling access to data assets through data cataloging process, ensure the information is exposed at the appropriate granularity level and sufficient metadata is provided along with data.
  5. Metadata generated by the data cataloging product should be accessible and provide integration with enterprise metadata product and other products as appropriate.

Category: Data Catalog