The consequences of data quality are significant to businesses, governments and society in general.
Data of poor quality causes customer dissatisfaction, lost revenue and higher costs associated with additional time to reconcile data. Data of poor quality can lead to a loss of credibility in a system and higher risks of non compliance with regulations. Data of poor quality increases consumer costs, increases taxes, decreases shareholder value and can cause mission failure.
Data quality is dependent both on the quality of the data capture process and the processes used to store, maintain, transfer and present data.
ISO 8000 addresses data quality. ISO 8000 is concerned with:
NOTE Data quality is achieved through the design of quality into the processes that create, maintain, deliver and present data to people in ways that support decision making.
The master data quality series of parts of ISO 8000 addresses the quality of master data. This part of ISO 8000 is an introduction to the series. It contains an introduction to master data, a data architecture, a high-level data model, and an overview of the remaining parts of the series.
Annex A contains an identifier that unambiguously identifies this part of ISO 8000 in an open information system.
Annex B describes different categories of items and their identifiers.