Data quality: a survey of data quality dimensions
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 manage...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2012
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| Online Access: | http://psasir.upm.edu.my/id/eprint/68168/ http://psasir.upm.edu.my/id/eprint/68168/1/Data%20quality%20a%20survey%20of%20data%20quality%20dimensions.pdf |
| _version_ | 1848856050522914816 |
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| author | Sidi, Fatimah Panahy, Payam Hassany Shariat Affendey, Lilly Suriani A. Jabar, Marzanah Ibrahim, Hamidah Mustapha, Aida |
| author_facet | Sidi, Fatimah Panahy, Payam Hassany Shariat Affendey, Lilly Suriani A. Jabar, Marzanah Ibrahim, Hamidah Mustapha, Aida |
| author_sort | Sidi, Fatimah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T11:35:30Z |
| format | Conference or Workshop Item |
| id | upm-68168 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:35:30Z |
| publishDate | 2012 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-681682019-05-09T03:35:49Z http://psasir.upm.edu.my/id/eprint/68168/ Data quality: a survey of data quality dimensions Sidi, Fatimah Panahy, Payam Hassany Shariat Affendey, Lilly Suriani A. Jabar, Marzanah Ibrahim, Hamidah Mustapha, Aida 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. IEEE 2012 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68168/1/Data%20quality%20a%20survey%20of%20data%20quality%20dimensions.pdf 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: 2012 International Conference on Information Retrieval & Knowledge Management (CAMP'12), 13-15 Mar. 2012, Kuala Lumpur, Malaysia. (pp. 300-304). 10.1109/InfRKM.2012.6204995 |
| spellingShingle | Sidi, Fatimah Panahy, Payam Hassany Shariat Affendey, Lilly Suriani A. Jabar, Marzanah Ibrahim, Hamidah Mustapha, Aida Data quality: a survey of data quality dimensions |
| title | Data quality: a survey of data quality dimensions |
| title_full | Data quality: a survey of data quality dimensions |
| title_fullStr | Data quality: a survey of data quality dimensions |
| title_full_unstemmed | Data quality: a survey of data quality dimensions |
| title_short | Data quality: a survey of data quality dimensions |
| title_sort | data quality: a survey of data quality dimensions |
| url | http://psasir.upm.edu.my/id/eprint/68168/ http://psasir.upm.edu.my/id/eprint/68168/ http://psasir.upm.edu.my/id/eprint/68168/1/Data%20quality%20a%20survey%20of%20data%20quality%20dimensions.pdf |