O processo decis??rio de governan??a de dados

• Ano de defesa: 2016
• Autor(a) principal: Santos, Nirian Martins Silveira dos
• Orientador(a): Streit, Rosalvo Ermes
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Cat??lica de Bras??lia
• Programa de Pós-Graduação: Programa Strictu Sensu em Gest??o do Conhecimento e da Tecnologia da Informa????o
• Departamento: Escola de Educa????o, Tecnologia e Comunica????o
• País: Brasil
• Palavras-chave em Português: Governan??a de dados; Processo decis??rio; Ativos de dados
• Área do conhecimento CNPq: CIENCIAS SOCIAIS APLICADAS::CIENCIA DA INFORMACAO
• Resumo em Inglês: Organizations continually invest in technologies for the processing of data and information, whose growth rate is increasing. In this context, managers realize the potential and relevance of information in decision-making processes. Ie, the information has consolidated its role as organizational asset, like the technology resources. However, for the information generate competitive advantage and be effective, it is necessary to establish roles and responsibilities as well as rules and policies related to data governance. This study falls within that scope of research and aims to propose an instrument to investigate and understand the decision-making data governance in organizations, identifying the profile of decision-makers and the main types of decisions in this area. The investigation led to a matrix of arrays in data governance, which structured five key decisions (data principles, data quality, metadata and architecture, data security and data lifecycle) and six archetypes (Business monarchy, IT monarchy, feudalism, federalism, duopoly and anarchy), which enable the mapping of decision making data.
• Link de acesso: https://bdtd.ucb.br:8443/jspui/handle/tede/2099

Organizations continually invest in technologies for the processing of data and information, whose growth rate is increasing. In this context, managers realize the potential and relevance of information in decision-making processes. Ie, the information has consolidated its role as organizational asset, like the technology resources. However, for the information generate competitive advantage and be effective, it is necessary to establish roles and responsibilities as well as rules and policies related to data governance. This study falls within that scope of research and aims to propose an instrument to investigate and understand the decision-making data governance in organizations, identifying the profile of decision-makers and the main types of decisions in this area. The investigation led to a matrix of arrays in data governance, which structured five key decisions (data principles, data quality, metadata and architecture, data security and data lifecycle) and six archetypes (Business monarchy, IT monarchy, feudalism, federalism, duopoly and anarchy), which enable the mapping of decision making data.