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Autores
Orientador(es)
Resumo(s)
This study aims to contribute to a better understanding of the problematic of data
quality problems. In these days, information took an important role in every organization, a
data is a valuable asset, and we discuss the types of errors in this matter and look to the
capabilities of new Artificial Intelligence tools to deal with those kinds of problems.
Several common problems of data quality will be identified, analysed and paired with
relevant Artificial Intelligence tools resulting in a conceptual framework that information
managers and data officers can use to improve that problems that we identified as critical in
this current scenario.
Although, it will be not possible to present an exhaustive list of all existing solutions,
due to the quick emerging of new techniques and ideas about this problems
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence
Palavras-chave
Artificial Intelligence Data quality problems Machine learning Neural networks Machine learning algorithms
