The quality of the information is a key factor, because the success of the decisions made by organizations depends heavily on the quality data on which those decisions are based. However, the organizations often lack the means to be able to assess the quality of their data. Therefore, AQCLab has developed a framework for evaluating and improving the data quality.
What is necessary to know the Data Quality level of your data?
To evaluate the Data Quality level of your data AQCLab only needs:
Access to a copy of the data to be evaluated.
The quality requirements of your data, i.e. the rules that the data must fulfill, such as: attributes that should not be null, regular expressions, attributes that must be unique, etc.
The data model, which must specify at least the name of the tables, the attributes of each table, and the relationship between the tables.
Data Quality Evaluation and Improvement
The assessment and improvement of data quality aims to analyze the quality characteristics of the data stored by an organization, detecting the weaknesses and proposing the improvements necessary to ensure that the data stored have the desired quality.
AQCLab has selected a subset of the characteristics defined in ISO/IEC 25012 standard as reference for evaluating the quality data, allowing organizations to gain an independent evaluation of the quality of their data.
Request information about the DATA QUALITY evaluation service conforming to ISO/IEC 25000 provided by AQCLab
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