Data quality. Part 150. Data quality management. Roles and responsibilities

Abstract

Digital data delivers value by enhancing all aspects of organizational performance including:
— operational effectiveness and efficiency;
— safety;
— reputation with customers and the wider public;
— compliance with statutory regulations;
— consumer costs, revenues and stock prices.

The influence on performance originates from data being the formalized representation of information. This information enables organizations to make reliable decisions. This decision making can be performed by human beings directly and also by automated data processing including artificial intelligence systems.

Through widespread adoption of digital computing and associated communication technologies, organizations become dependent on digital data. This dependency amplifies the negative consequences of lack of quality in this data. These consequences are the decrease of organizational performance.

The biggest impact of digital data comes from the data having a structure that reflects the nature of the subject matter and from the data also being computer processable (machine readable) rather than just being for a person to read and understand.

The content of ISO 9000 explains that quality is not an abstract concept of absolute perfection. Quality is actually the conformance of characteristics to requirements and, thus, any item of data can be of high quality for one use but not for another use that has differing requirements. © ISO/IEC 2022 All rights reserved

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