17643906. DETECT DATA STANDARDIZATION GAPS simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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DETECT DATA STANDARDIZATION GAPS

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Albert Maier of Tuebingen (DE)

Dennis Butterstein of Stuttgart (DE)

Alexandre Luz Xavier Da Costa of Stuttgart (DE)

Mike W. Grasselt of Leinfeiden-Echterdingen (DE)

Timo Kussmaul of Boeblingen (DE)

Yevgen Karpenko of Schoenaich (DE)

DETECT DATA STANDARDIZATION GAPS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17643906 titled 'DETECT DATA STANDARDIZATION GAPS

Simplified Explanation

The abstract describes a computer-implemented method for detecting reference data standardization gaps in data sets. Here is a simplified explanation of the patent application:

  • The method involves analyzing a data set to identify reference data candidates.
  • An index is used to store values related to the identified reference data candidates.
  • The method then compares an earlier version of a reference data set with the current version to determine any differences.
  • These differences are compared with the values in the index.
  • Entries in the reference data candidates that have the same value as the determined difference are identified as reference data standardization gaps.

Potential applications of this technology:

  • Data quality management: This method can be used to identify and address inconsistencies or gaps in reference data, ensuring the accuracy and reliability of data sets.
  • Compliance monitoring: It can help organizations ensure compliance with industry standards or regulations by detecting any discrepancies in reference data.
  • Data integration: This method can be used during the integration of different data sets to identify and resolve any inconsistencies in reference data.

Problems solved by this technology:

  • Inaccurate or inconsistent reference data: The method helps identify gaps or discrepancies in reference data, allowing organizations to address and correct them.
  • Time-consuming manual checks: The automated nature of this method reduces the need for manual inspection and analysis of reference data, saving time and effort.
  • Data quality issues: By detecting and resolving reference data standardization gaps, this technology improves the overall quality and reliability of data sets.

Benefits of this technology:

  • Improved data accuracy: By identifying and addressing reference data standardization gaps, this method helps improve the accuracy and reliability of data sets.
  • Time and cost savings: The automated nature of this method reduces the need for manual checks and analysis, saving time and resources.
  • Enhanced compliance: Organizations can ensure compliance with industry standards or regulations by detecting and resolving any discrepancies in reference data.


Original Abstract Submitted

A computer-implemented method for detecting reference data standardization gaps in data sets is disclosed. The method comprises identifying at least one reference data candidate in a data set, using an index for values of the identified at least one reference data candidate, and determining a difference between an earlier version of a reference data set relating to the reference data candidate and a current version of the reference data set. Furthermore, the method comprises comparing the determined difference with values of the index, and identifying entries in the at least one reference data candidate having a value identical to a value of the difference as reference data standardization gap.

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