About Business Intelligence: The Quality of Information

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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:

Our future posts that complete the current “About Business Intelligence” theme will be:

  • About Business Intelligence: Data Warehouse

Justification

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.


References:

Image credits:

 

Author: Pedro Carneiro Jr.

Systems analyst, R programmer, data science enthusiast. DAMA International (Brazil Chapter) member since November, 2016.

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