Data quality : a survey of data quality dimensions.

Citation

Sidi, Fatimah and Panahy, Payam Hassany Shariat and Affendey, Lilly Suriani and A. Jabar, Marzanah and Ibrahim, Hamidah and Mustapha, Aida (2012) Data quality : a survey of data quality dimensions. In: The International Conference on Information Retrieval and Knowledge Management 2012 (CAMP’12), 13-15 Mar. 2012, Kuala Lumpur, Malaysia. (pp. 300-304).

Abstract

Nowadays, activities and decisions making in an organization is based on data and information obtained from data analysis, which provides various services for constructing reliable and accurate process. As data are significant resources in all organizations the quality of data is critical for managers and operating processes to identify related performance issues. Moreover, high quality data can increase opportunity for achieving top services in an organization. However, identifying various aspects of data quality from definition, dimensions, types, strategies, techniques are essential to equip methods and processes for improving data. This paper focuses on systematic review of data quality dimensions in order to use at proposed framework which combining data mining and statistical techniques to measure dependencies among dimensions and illustrate how extracting knowledge can increase process quality.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1109/InfRKM.2012.6204995
Notes:	Full text are available at Special Collection Division Office.
Keywords:	Data quality; Data quality Dimensions; Types of data.
Depositing User:	Erni Suraya Abdul Aziz
Date Deposited:	04 Aug 2014 06:48
Last Modified:	04 Aug 2014 06:48
URI:	http://psasir.upm.edu.my/id/eprint/31860
Statistic Details:	View Download Statistic

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