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WISESTONEBUSINESS

TEST REPORT

Data Quality Testing

Overview

We objectively evaluate data held by enterprises and public institutions based on the international standard ISO/IEC 25024, improving data quality completeness and ensuring the acquisition of high-quality data.
WISESTONE is the first internationally accredited testing laboratory in Korea specializing in data quality.
  • ISO/IEC 25024: International standard for data quality

Purpose

Target Data

Test Methods

We assess data accuracy, completeness, consistency, precision, and efficiency in accordance with ISO/IEC 25024
Category Test Items Test Methods
Accuracy Syntactic Data Accuracy Measures the proportion of data items that contain syntactically correct values.
Semantic Data Accuracy Measures the proportion of data values that are semantically correct.
Risk of Inaccuracy in the Dataset Measures the proportion of outlier data values within the dataset that indicate a potential risk of becoming inaccurate.
Data Range Accuracy Measures the proportion of data items that fall within the specified range.
Completeness Record Completeness Measures the proportion of data items within records—used to assess completeness—that contain no null values.
Data Value Completeness Measures the proportion of data values within data items in a dataset that meet the expected values.
Consistency Referential Integrity Measures the proportion of data items within records used to assess completeness that contain no null values.
Risk of Data Inconsistency Measures the proportion of data items that contain duplicated data values.
Semantic Consistency Measures the proportion of data items in a dataset that are semantically correct.
Currency Item Update Request Measures the proportion of information items for which update requests occur in accordance with the defined update cycles and conditions.
Compliance Regulatory Compliance of Data Values or Formats Measures the proportion of data items that conform to applicable standards, agreements, or regulations.
Precision Data Value Precision Measures the proportion of data values that meet the precision requirements specified in the documentation.
Traceability Data Value Traceability Measures the proportion of data values that contain the required traceability information.
Understandability Symbol Understandability Measures the proportion of data values represented using symbols that are easily understandable.

Test Procedure

Contact & Consultation