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The Need for Data Quality

Summary: Treats data as a key corporate asset and notes pervasive flaws from governance gaps, poor acquisition/update, many DBs, and duplicate data. Advocates asset-centric theories, measurement metrics, balanced architectures, process-simulation, and co-designed information systems to reduce data errors by 97%. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8174
Venue
VLDB
Year
1993
Pagerank
4.5435639e-05
Overall Rank
8,329 | 42.06%
DOI
-

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Rank Citing Paper Year Venue Pagerank
12,881 The Voice of the Customer: Innovative and Useful Research Directions 1993 VLDB 4.1945683e-05
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