DQAS Implementation to Support Base Analysis Techniques in Data Quality Life Cycle

Abdul Aziz, Azwa and Hassan, Hasni (2011) DQAS Implementation to Support Base Analysis Techniques in Data Quality Life Cycle. In: 11th International Conference of Hybrid & Intelligence System (HIS 2011), 5-8 December 2011, Universiti Teknikal Melaka (UTeM).

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Abstract

Abstract—Good business decision making depends on how good information is provided. Due to this factor, the quality of data provided by transactions systems database is really important to organizations in order to produce the best solution for their company to move forward. Data Quality issues have become major problems in most enterprise systems where in some cases forced companies to stop their operations and in other, create chaos in life environment. Base Analysis technique is part of analyses which are introduced in our previous research in Data Quality Life Cycle. Base Analysis technique is used to profile heterogeneous data in a structured approach, with the intention to determine abnormal data. The technique contains three levels of analyses; Top Level Analysis, Middle Level Analysis and Low Level Analysis.On the other hand, Data Quality Analysis System is a tool developed using open source technologies that are connected to commercial databases to support Base Analysis and implemented in three-tier architecture. This paper describes the implementation of the system to perform data quality analysis using Human Resources data that reside in Oracle database platform.

Item Type: Conference or Workshop Item (Paper)
Keywords: Data Quality, Base Analysis, DQ Dimensions
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Institute: Faculty of Informatics & Computing
Depositing User: Mr. Azwa bin Aziz
Date Deposited: 25 May 2014 07:34
Last Modified: 25 May 2014 07:34
URI: http://erep.unisza.edu.my/id/eprint/1109

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