Data Quality: The Accuracy Dimension

Appendix B: Content of a Data Profiling Repository

This appendix lists information that can be included in a data profiling repository. This demonstrates the information that needs to be collected and maintained in order to record and demonstrate everything you need to know about a data source. This information is invaluable for use on application modifications or intended new uses. A specific organization may find additional information that can be added to this list to make it even more comprehensive.

Some of this information could be transferred to a formal metadata repository for permanent storage. However, be aware that formal repositories do not have constructs for all of the information listed in this appendix.

B.1 Schema Definition

  • Identification of the collection of data that is profiled together

  • Business description

  • Data steward

  • Business analysts with knowledge of objects

B.2 Business Objects

  • Name

  • Business description

  • Tables used to store object data

  • Data model of business object

B.3 Domains

  • Name

  • Description

  • Data type

  • Length boundaries

  • Numeric precision

  • Value properties

    • Discrete value list

      • Encoded value meanings

    • Range of values permitted

      • Skip-over rule

    • Character patterns required

    • Character set

    • Character exclusions

    • Text field restrictions

B.4 Data Source

  • Type IMS/VSAM/ORACLE/

  • Physical location

  • Application name

  • Application description

  • Database administrator name

  • Key dates

    • First deployment date

    • Major change dates

  • Extraction information

    • Data conversions needed

    • Overloaded field definitions

  • Tables that result from extraction

  • Extraction executions

    • Date of extraction

    • Type full or sample

B.5 Table Definitions

  • Name

  • Descriptive name

  • Business meaning

  • Columns

    • Name

    • Longer descriptive name

    • Business definition

    • Confidence indicators

      • Trusted

      • Susceptibility to decay

      • Enforcement processes

    • Domain names...

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