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4. Conclusion
Numerous cases described in scientific literature and the press reveal alarming situations linked to data quality issues in numerous databases, data warehouses and information systems, whether commercial, medical, public domain, industrial or web-based. Until the 2010s, approaches to assessing and improving data quality were often ad hoc, fragmented and specific to relatively compartmentalized application domains. With the rise of data governance within most organizations and enterprises, more generic, practical solutions and strategies have been proposed, accompanied by software tools that facilitate the cleansing and preparation of data for analysis. A number of scientific hurdles in this field have already been overcome
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Conclusion
Bibliography
Events
International conferences :
Very Large Databases (VLDB) Conference : http://vldb.org/conference.html
ACM Special Interest Group on Management of Data SIGMOD : https://dl.acm.org/event.cfm?id=RE227
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Standards and norms
- Data quality – Part 1 : Overview https://www.iso.org/standard/50798.html - ISO/TS 8000-1 - 2011
- Data quality – Part 2: Vocabulary https://www.iso.org/standard/73456.html - ISO 8000-2 - 2017
- Data quality – Part 8: Information and data quality: Concepts and measuring https://www.iso.org/standard/60805.html - ISO 8000-8 - 2015
- Data quality – Part 61: Data quality management : Process reference model...
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