Any quality information depends directly on quality data. One problem is the fact that today’s software production is still being done in an artisanal way. Serra (2002) even classifies system development professionals as “intellectual artisans” given the lack of controls and well-defined processes for that activity. Despite this difficulty in the efforts to measure the quality of software development processes, at least concrete results have been obtained by applying the methods of Kimball (1998) to Data Warehousing, in such a way that by them we have defined processes for the measurement and processing of information quality.
Consistent information means high-quality information. This means that all of the information is accounted for and is complete. (KIMBALL, 1998, p.10).
Data staging is a major process that includes, among others, the following sub-processes: extracting, transforming, loading and indexing, and quality assurance checking. (KIMBALL, 1998, p.23).
Text: Pedro Carneiro Jr.
Revision: Luis Cláudio R. da Silveira
These are the posts on the same “Enum and Quality in BI” monograph:
- When to use Enums?
- About The Software Design Science – Part 1 of 2
- About The Software Design Science – Part 2 of 2
- About Business Intelligence (BI)
- About Business Intelligence: The Relationship Between Data, Information and Knowledge
- About Business Intelligence: The Quality of Data
- About Business Intelligence: The Quality of Information
- About Business Intelligence: The Relationship Between Operational Information and Managerial Information
- About Business Intelligence: The Adequacy of the Information to the Business Needs
Our future posts that complete the current “About Business Intelligence” theme will be:
- About Business Intelligence: Data Warehouse
This short text is a mere Portuguese to English translation from part of my monograph “THE PERSISTENCE OF ENUMERATIONS IN POSTGRESQL DATABASES AND QUALITY IN BUSINESS INTELLIGENCE” (free translation of the title), also aliased as “Enum and Quality in BI”, which corresponds to a minor part of the document structure.
- SERRA, Laércio. A Essência do Business Intelligence. 1ª ed. São Paulo:
Berkeley, 2002 – https://www.skoob.com.br/a-essencia-do-business-intelligence-154218ed172085.html, ISBN-10: 8572516301;
- KIMBALL, Ralph et al. The Data Warehouse Lifecycle Toolkit. New York, USA: Wiley, 1998 – http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471255475.html, ISBN: 978-0-471-25547-5.
- “The Commons”, Flickr.com / The British Library – https://www.flickr.com/photos/britishlibrary/11022926536/sizes/l/