Data quality best practices Definitions

  • C

    cooked data

    Cooked data is raw data after it has been processed - that is, extracted, organized, and perhaps analyzed and presented - for further use.

  • D

    data

    In computing, data is information that has been translated into a form that is efficient for movement or processing.

  • data governance (DG)

    Data governance (DG) is the overall management of the availability, usability, integrity and security of data used in an enterprise. Businesses benefit from data governance because it ensures data is consistent and trustworthy.

  • data quality

    Data quality is a measure of the condition of data based on factors such as accuracy, completeness, consistency, reliability and whether it's up to date.

  • data scrubbing (data cleansing)

    Data scrubbing, also called data cleansing, is the process of cleaning up data in a database that is incorrect, incomplete, or duplicated.

  • data transformation

    Data transformation is the process of converting data from one format, such as a database file, XML document or Excel spreadsheet, into another.

  • dirty data

    In a data warehouse, dirty data is a database record that contains errors.

  • What is Data Management and Why is it important?

    Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization, as explained in this in-depth look at the process.

  • F

    fixed data (permanent data, reference data, archival data, or fixed-content data)

    Fixed data (sometimes referred to as permanent data) is data that is not, under normal circumstances, subject to change. Any type of historical record is fixed data. For example, meteorological details for a given location on a specific day in the past are not likely to change (unless the original record is found, somehow, to be flawed).

  • M

    master data management (MDM)

    Master data management (MDM) is a process that creates a uniform set of data on customers, products, suppliers and other business entities from different IT systems.

  • R

    raw data (source data or atomic data)

    Raw data (sometimes called source data or atomic data) is data that has not been processed for meaningful use.

  • S

    synthetic backup

    Synthetic backup is the process of generating a file from a complete copy of a file created at some past time and one or more incremental copies created at later times... (Continued)

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