TY - GEN
T1 - Research and practice in data quality
AU - Sadiq, Shazia
AU - Zhou, Xiaofang
AU - Deng, Ke
PY - 2008
Y1 - 2008
N2 - According to Gartner, human data-entry errors, and lack of proper corporate data standards result in more than 25 percent of critical data used in large corporations to be flawed. While the issue of data quality is as old as data itself, it is now exposed at a much more strategic level, e.g. through business intelligence (BI) systems, increasing manifold the stakes involved. Corporations routinely operate and make strategic decisions based on remarkably inaccurate or incomplete data. This proves a leading reason for failure of high-profile and high-cost IT projects such as Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Supply Chain Management (SCM) and others. According to an industry survey [1], the presence of data quality (DQ) problems costs U.S. business more than 600 billion dollars per annum.
AB - According to Gartner, human data-entry errors, and lack of proper corporate data standards result in more than 25 percent of critical data used in large corporations to be flawed. While the issue of data quality is as old as data itself, it is now exposed at a much more strategic level, e.g. through business intelligence (BI) systems, increasing manifold the stakes involved. Corporations routinely operate and make strategic decisions based on remarkably inaccurate or incomplete data. This proves a leading reason for failure of high-profile and high-cost IT projects such as Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Supply Chain Management (SCM) and others. According to an industry survey [1], the presence of data quality (DQ) problems costs U.S. business more than 600 billion dollars per annum.
UR - https://openalex.org/W1607755560
UR - https://www.scopus.com/pages/publications/43749121868
U2 - 10.1007/978-3-540-78849-2_6
DO - 10.1007/978-3-540-78849-2_6
M3 - Conference Paper published in a book
SN - 3540788484
SN - 9783540788485
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 41
EP - 42
BT - Progress in WWW Research and Development - 10th Asia-Pacific Web Conference, APWeb 2008, Proceedings
T2 - 10th Asia Pacific Conference on Web Technology, APWeb 2008
Y2 - 26 April 2008 through 28 April 2008
ER -