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Data quality is an intricate way of measuring data properties from different perspectives. It is a comprehensive examination of the application efficiency, reliability and fitness of data, especially data residing in a data warehouse.
Inside an organization, adequate data quality is vital for transactional and operational processes, as well as the longevity of business intelligence (BI) and business analytics (BA) reporting. Data quality may be affected by the way in which data is entered, handled and maintained.
Data quality assurance (DQA) is a procedure intended to verify the efficiency and reliability of data.
Effective data quality maintenance requires periodic data monitoring and cleaning. In general, data quality maintenance involves updating/standardizing data and deduplicating records to create a single data view.
Key data quality components are as follows:
Data quality is vital for the following reasons:
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