Data Quality in Manufacturing Data Warehouse
International Journal of Recent Engineering Science (IJRES) | |
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© 2014 by IJRES Journal | ||
Volume-1 Issue-5 |
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Year of Publication : 2014 | ||
Authors : Dr.Sreenath, S.Karunagaran |
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DOI : 10.14445/23497157/IJRES-V1I5P103 |
How to Cite?
Dr.Sreenath, S.Karunagaran, "Data Quality in Manufacturing Data Warehouse," International Journal of Recent Engineering Science, vol. 1, no. 5, pp. 13-18, 2014. Crossref, https://doi.org/10.14445/23497157/IJRES-V1I5P103
Abstract
Data quality has become integral to many organizations as they build data warehouses and focus more on customer relationship management (CRM). This is especially true in the Manufacturing domain where cost pressures and the desire to improve quality of customer experience drive efforts to integrate and c l e a n o r g an i z a t i o n a l data. This p a p e r r e v i e ws earlier work on data quality and extends it by providing a process model of architected data environments. This model allows practitioners and researchers to focus on processes that generate data quality problems. The paper describes how the model was used in a real world scenario and subsequent implications for practitioners and researchers.
Keywords
Warehouse, Data and CRM
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