To comprehensively address the problem of data quality, an analysis should be performed for each of the data quality dimensions, thus managing to solve each of the doubts in the procedure and thus mitigate the risks of failure in the procedure. projects of this type.
To that end, the important and priority is to have a starting point, a metric to identify the current state of the data.
For this, an initial audit or profiling of the data is essential, in order to know what state they are in and from there, detectar qué se debe corregir y a su vez determinar parametersThe "parameters" are variables or criteria that are used to define, measure or evaluate a phenomenon or system. In various fields such as statistics, Computer Science and Scientific Research, Parameters are critical to establishing norms and standards that guide data analysis and interpretation. Their proper selection and handling are crucial to obtain accurate and relevant results in any study or project.... de control que ayuden a medir el avance en los procesos de calidad. .
These parameters are known as the six dimensions of data quality and are considered the key points that data quality must cover to guarantee our cleanliness and quality processes..
What are the six dimensions of data quality?
I complete it
In some cases, data that does not exist is irrelevant, but when they become necessary for a business procedure, they become critical.
Accordance
The data found in the fields of the table must be in a standard and readable format.
Consistency
When comparing the information with the records, should avoid contradictory information.
Precision accuracy
If the data is not accurate, they cannot be used. To that end, to detect if these are accurate, data is compared to a reference source.
Duplication
It is essential to know if you have the same information in the same or similar formats within the table.
Integrity
Otra dimension"Dimension" It is a term that is used in various disciplines, such as physics, Mathematics and philosophy. It refers to the extent to which an object or phenomenon can be analyzed or described. In physics, for instance, there is talk of spatial and temporal dimensions, while in mathematics it can refer to the number of coordinates necessary to represent a space. Understanding it is fundamental to the study and... de calidad importante radica en saber si toda la información relevante de un registro está presente de manera utilizable.
Understanding these six dimensions is the first step in driving data quality. Be able to identify and separate data flaws, classifying them by these dimensions, enables us to apply the appropriate techniques to drive both the information and the processes that create and manipulate information.