A new approach for data cleaning to improve quality of data warehouse

Subject Areas : Intelligent Multimedia Processing and Communication Systems (IMPCS)

Ali  Shahnavaz ¹ (Department of Mathematics and Statistics, Islamic Azad University, Zanjan Branch, Zanjan, Iran,)
Mehdi  Afzali ² (Department of IT Engineering, Islamic Azad University, Zanjan Branch, Zanjan, Iran,)
Shima  Rahimzadeh ³ (Zanjan University of Medical Sciences, Zanjan, Iran)

Received: 2021-08-17 Accepted : 2021-09-26 Published : 2020-12-21

Keywords: Data Quality, Data management, data cleaning, Data Preparation, Data warehouse,

Abstract :

Data management provides a tool that the information organization needs will be answered based on that properly. The most important issue in business intelligence is data quality. Data quality can guarantee data cleaning before uploading it to the data warehouse. Data cleaning is a procedure which includes the process of errors detection and correction and inconsistencies in the data warehouse. Because of the huge number of data in databases many problems and contradictions have been emerged. The main goal of this study is to remove inconsistencies in the databases in order to clean up the dirty data. A new approach with the purpose of improving the quality of data warehouse for correct decisions has been provided. For testing the proposed approach, data collection of student health certificate were used. Through the implementation of this approach we have been able to detect dirty data and then with using students’ national code, the correction process has been applied to them. Based on the achieved results, the amount of dirty data decreased from %25.79 to %4.97.

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