Document (#20914)

Author

Becker, S.

Title

¬A practical perspective on data quality issues

Source

Journal of database management. 9(1998) no.1, S.35-37

Year

1998

Abstract

Explains why data quality is important. Problems that impact data quality include: data corruption due to incorrect conversion, historical and current data have different meanings, the same data has more than 1 data definition, missing data, hidden data, missing granularity, and violation of integrity rules. Suggests an improvement strategy to establish organizational commitment to cahnge what has been done in promoting data quality. Misconceptions that impact data quality are: data quality improves with the introduction of new technology; old data quality will not have an impact on new database development; and data quality is a database administration problem

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