Data quality comparative model for data warehouse.

The growth of daily data and complexity in data warehouse with enhanced the information technology has created new challenges for information user. The demand for quality data has increase an awareness of the quality, reliable and accuracy of information in making fast and reliable decision-making....

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Main Authors: Sidi, Fatimah, Ramli, Abdullah, A. Jabar, Marzanah, Affendey, Lilly Suriani, Mustapha, Aida, Ibrahim, Hamidah
Format: Conference or Workshop Item
Language:English
English
Published: 2012
Online Access:http://psasir.upm.edu.my/id/eprint/31855/
http://psasir.upm.edu.my/id/eprint/31855/1/31855.pdf
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author Sidi, Fatimah
Ramli, Abdullah
A. Jabar, Marzanah
Affendey, Lilly Suriani
Mustapha, Aida
Ibrahim, Hamidah
author_facet Sidi, Fatimah
Ramli, Abdullah
A. Jabar, Marzanah
Affendey, Lilly Suriani
Mustapha, Aida
Ibrahim, Hamidah
author_sort Sidi, Fatimah
building UPM Institutional Repository
collection Online Access
description The growth of daily data and complexity in data warehouse with enhanced the information technology has created new challenges for information user. The demand for quality data has increase an awareness of the quality, reliable and accuracy of information in making fast and reliable decision-making. Nowadays, many organizations are depending on their resources in data warehouse. As that matter of fact, the qualities of data warehouse are greatly concern. The poor and error data will cause more trouble in data warehouse as data accessed from the same resources by the user. Here we present the systematic review comparative model to determine the data quality model as further research in our studies.
first_indexed 2025-11-15T09:12:36Z
format Conference or Workshop Item
id upm-31855
institution Universiti Putra Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-15T09:12:36Z
publishDate 2012
recordtype eprints
repository_type Digital Repository
spelling upm-318552014-08-04T06:31:44Z http://psasir.upm.edu.my/id/eprint/31855/ Data quality comparative model for data warehouse. Sidi, Fatimah Ramli, Abdullah A. Jabar, Marzanah Affendey, Lilly Suriani Mustapha, Aida Ibrahim, Hamidah The growth of daily data and complexity in data warehouse with enhanced the information technology has created new challenges for information user. The demand for quality data has increase an awareness of the quality, reliable and accuracy of information in making fast and reliable decision-making. Nowadays, many organizations are depending on their resources in data warehouse. As that matter of fact, the qualities of data warehouse are greatly concern. The poor and error data will cause more trouble in data warehouse as data accessed from the same resources by the user. Here we present the systematic review comparative model to determine the data quality model as further research in our studies. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/31855/1/31855.pdf Sidi, Fatimah and Ramli, Abdullah and A. Jabar, Marzanah and Affendey, Lilly Suriani and Mustapha, Aida and Ibrahim, Hamidah (2012) Data quality comparative model for data warehouse. In: The International Conference on Information Retrieval and Knowledge Management 2012 (CAMP’12), 13-15 Mar. 2012, Kuala Lumpur, Malaysia. (pp. 268-272). 10.1109/InfRKM.2012.6204987 English
spellingShingle Sidi, Fatimah
Ramli, Abdullah
A. Jabar, Marzanah
Affendey, Lilly Suriani
Mustapha, Aida
Ibrahim, Hamidah
Data quality comparative model for data warehouse.
title Data quality comparative model for data warehouse.
title_full Data quality comparative model for data warehouse.
title_fullStr Data quality comparative model for data warehouse.
title_full_unstemmed Data quality comparative model for data warehouse.
title_short Data quality comparative model for data warehouse.
title_sort data quality comparative model for data warehouse.
url http://psasir.upm.edu.my/id/eprint/31855/
http://psasir.upm.edu.my/id/eprint/31855/
http://psasir.upm.edu.my/id/eprint/31855/1/31855.pdf