Managing data source quality for data warehouse in manufacturing services

Norizam Idris, Kamsuriah Ahmad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Data quality and Data Source Management is one of the key success factors for data warehouse project. Many data warehouse projects fail due to poor quality of the data. It is believed that the problems can be fixed later and because of that, a lot of time will be spent to fix the error. If low quality data fed into the data warehouse system, the result will be not accurate if these data are used in the decision making. Many data warehouse and business intelligence projects failure are due to wrong or low quality data. Therefore this paper will underpins several aspects such as Total Data Quality Management (TDQM), ISO 9001:2008 and Quality Management System (QMS) in order to address data quality problems in the early stage and find out the best procedure to manage the data sources. To find a standard procedure in managing data source base on ISO 9001:2008 standard, process in managing data source is identified and a compared to the ISO 9001:2008 Quality Management System (QMS) requirements. As a result, this process is viewed as a kind of production process and relate to the concepts of quality management known from the manufacturing and service domain. More precisely, a high quality management system in managing data source is proposed. This system is based on ISO 9001:2008 standard and hopes it can help organizations in implementing and operating quality management system. By using ISO 9001:2008 framework to the process of managing data source, this approach will be similar to the manufacturing concept that has an added advantage when compared to traditional approaches in managing data source.

Original languageEnglish
Title of host publicationProceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 - Bandung
Duration: 17 Jul 201119 Jul 2011

Other

Other2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
CityBandung
Period17/7/1119/7/11

Fingerprint

Data warehouses
Quality management
Competitive intelligence
Information management
Decision making

Keywords

  • Data Quality
  • Data Source
  • Data Warehouse
  • ISO 9001:2008
  • Quality Management System

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering

Cite this

Idris, N., & Ahmad, K. (2011). Managing data source quality for data warehouse in manufacturing services. In Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 [6021598] https://doi.org/10.1109/ICEEI.2011.6021598

Managing data source quality for data warehouse in manufacturing services. / Idris, Norizam; Ahmad, Kamsuriah.

Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011. 6021598.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Idris, N & Ahmad, K 2011, Managing data source quality for data warehouse in manufacturing services. in Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011., 6021598, 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011, Bandung, 17/7/11. https://doi.org/10.1109/ICEEI.2011.6021598
Idris N, Ahmad K. Managing data source quality for data warehouse in manufacturing services. In Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011. 6021598 https://doi.org/10.1109/ICEEI.2011.6021598
Idris, Norizam ; Ahmad, Kamsuriah. / Managing data source quality for data warehouse in manufacturing services. Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011.
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