The information quality and data quality they are not exactly equivalentThey are not millimeter proportional, cannot be measured in the same terms, but they are closely related and present a link. It's the old chicken and egg story, it's subjectivity versus objectivity.
Photo credits: “Data transfer” by rajcreationzs
Of the data quality depends on Quality of the information. It is the means that makes the end possible and therefore, if the first one is poor, incomplete or unreliable … the integrity of the second will suffer, and with it the analysis, that will affect the decision making and the future of the business.
Although the Quality of the information It depends on the data, and requires its precision and the existence of a specific format; when it unfolds, becomes relevant, earn in utility, is intelligible and adds value. Therefore, the organization must ensure that it is accessible to the user at all times.
In search of the quality of information: the challenge is called data quality
The challenge that, for most organizations, It represents preserve and guarantee data quality is comparable to the scope and magnitude of the problems that may arise if not. The Quality of the information It is the highest level expected to reach, but there are many issues to consider on the way to it:
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Precision: degree of adequacy achieved in representation, description and interpretation of the real world.
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I complete it: posed like a critical attribute of data quality.
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Consistency: avoid redundancies and maintain integrity also between systems.
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Accuracy: regarding compliance with the Business rules.
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Integrity: for which it is necessary to work from the master data and metadata.
The data life cycle holds the key to knowing the degree of compliance with the desired quality standards and therefore it is necessary to be able to access it. Especially if it is taken into account that the amount of incorrect or erroneous data is much greater than what can be expected in most companies.
Photo credits: “Excellent quality control monitor” by Stuart Miles
Factors that affect the quality of information
The causes that affect the quality of information for intervening directly at the level of data quality that appear most frequently are:
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Incompatibilities between technologies.
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Business rules that have not been disseminated or have changed and have not been published.
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Lack of data validation in ERP systems.
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Human errors.
This matter should be treated as a priority at the company level and for this you need to ask yourself a series of questions:
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Consider data as a critical value for the company and its future.
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Understand the the importance of governance data.
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Find solutions that guarantee the quality of the data and, therefore, the Quality of the information, based on software that adapts to the evolution of the business model.
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