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Data quality is defined as being data that is complete, timely, accurate, valid, and consistent. The definition of data quality must describe the degree of quality required for each element loaded into a corporate data warehouse.

The quality assurance of data refers to the verification of the accuracy and correction of the data, if necessary, and this may involve cleansing of existing data. Since no company is able to rectify all of its unclean data, procedures have to be put in place to ensure data quality at the source.

Modifying Business Processes to Ensure Data Quality

This task can only be achieved by modifying business processes and designing data quality into the system. In identifying every data item and its usefulness to the ultimate users of this data, data quality requirements can be established. Increasing the quality of data as an after-the-fact task is five to ten times more costly than capturing it correctly at the source.

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