Governança de Dados em Organizações Brasileiras
Resumo
Organizações estão cada vez mais buscando dados íntegros e com qualidade para auxiliarem na tomada de decisões estratégicas e geração de valor. Neste contexto a Governança de Dados (GD) proporciona processos e práticas que auxiliam no gerenciamento e manutenção dos dados. Muitos são os frameworks para a implantação de processos de GD e os benefícios que estes podem proporcionar, entretanto poucas são as implantações relatadas na literatura. Este trabalho tem por objetivo identificar os processos e frameworks de GD implantados em organizações brasileiras e comparar os benefícios obtidos na implantação com os propostos pela literatura. Para isso serão realizados estudos de casos em organizações brasileiras que implantaram ou estão em processo de implantação dos frameworks de GD.
Palavras-chave:
Governança de Dados, Frameworks de Gestão, Sistemas de Informação
Referências
Bruening, P. J. e Waterman, K. K. 2010. Data tagging for new information governance models. Security & Privacy, IEEE. 8, 5(Set/Out. 2010), 64–68.
Chapple, M. 2013. Speaking the same language: Building a data governance program for institutional impact. Educause Review. 48, 6(Nov/Dez. 2013), 14-27.
Cheong, L. K. e Chang, V. 2007. The need for data governance: a case study. 2007, In: 18th Australasian Conference on Information System, Toowoomba.
Coleman, D. W., Hughes, A. A. e Perry, W. D. 2009. The role of data governance to relieve information sharing impairments in the federal government. Computer Science and Information Engineering, WRI World Congress IEEE. 4, 267-271.
DAMA BRASIL. 2014. Disponível em < http://www.dama.org.br/>. Acesso em: 10 nov.
DATAFLUX Corporation. 2007. The Data Governance Maturity Model Establishing the People, Policies and Technology That Manage Enterprise Data. Disponível em < http://www.sas.com/offices/NA/canada/lp/DIDQ/DataFlux.p df>. Acesso em: 10 out. 2014.
Felici, M., Koulouris, T. e Pearson, S. 2013. Accountability for Data Governance in Cloud Ecosystems. IEEE International Conference on Cloud Computing Technology and Science, p. 327-332.
Freitas, P. A. et al. 2013. Aspects of data quality that cause impact on business intelligence systems. Computational Science and Engineering (CSE), IEEE 16th International Conference. 76–80.
Haider, W. e Haider, A. 2013. Governance structures for engineering and infrastructure asset management. Technology Management in the IT-Driven Services (PICMET), IEEE Proceedings of PICMET’13. 1229–1238.
Khatri, V. e Brown, C. V. 2010. Designing data governance. Communications of the ACM. 53, 1(Jan. 2010), 148–152.
Mosley, M. et al. 2009. The DAMA Guide to the Data Management Body of Knowlegde, 1ª edição, USA, Technics Publications, LLC, 406 p.
Olama, M. M. et al. 2014. A qualitative readinessrequirements assessment model for enterprise big-data infrastructure investment. In: SPIE Sensing Technology Applications.
Otto, B. 2011a. A morphology of the organisation of data governance. University of St. Gallen, Institute of Information Management, Müller-Friedberg.
Otto, B. 2011b. Organizing data governance: findings from the telecommunications industry and consequences for large service providers. Communications of the Association for Information Systems, 29, 1(Jan. 2011), 45–66.
Rosenbaum, S.2010. Data Governance and Stewardship: Designing Data Stewardship Entities and Advancing Data Access. Health services research, 45, 5p2, 1442-1455.
Sampieri, R. H., Collado, C. F. e Lucio, M. P. B. 2006. Metodologia de Pesquisa, 3ª edição, São Paulo: McGrawHill, 583p.
Soares, S, Deutsch, T., Hanna, S. e Malik, P. 2012. Big Data Governance: A Framework to Assess Maturity, Disponível em < http://ibmdatamag.com/2012/04/big-datagovernance-a-Framework-to-assess-maturity/>. Acesso em: 10 out. 2014.
Soares, S. 2012. A Framework that Focuses on the “Data” in Big Data Governance, Disponível em < http://ibmdatamag.com/2012/06/a-Framework-that-focuseson-the-data-in-big-data-governance/>. Acesso em: 10 out. 2014.
Tallon, P. P. 2013. Corporate Governance of Big Data: Perspectives on Value, Risk, and Cost. Computer, IEEE. 46, 6(Jun. 2013), 32–38.
Weber, K., Otto, B. e Osterle, H. 2009. One size does not fit all—a contingency approach to data governance. Journal of Data and Information Quality (JDIQ). 1, 1(Jun. 2009).
Yin, R. K. (2009). Case Study Research: Design and Methods, 4th edition. California: SAGE Publications, Inc., 217p.
Chapple, M. 2013. Speaking the same language: Building a data governance program for institutional impact. Educause Review. 48, 6(Nov/Dez. 2013), 14-27.
Cheong, L. K. e Chang, V. 2007. The need for data governance: a case study. 2007, In: 18th Australasian Conference on Information System, Toowoomba.
Coleman, D. W., Hughes, A. A. e Perry, W. D. 2009. The role of data governance to relieve information sharing impairments in the federal government. Computer Science and Information Engineering, WRI World Congress IEEE. 4, 267-271.
DAMA BRASIL. 2014. Disponível em < http://www.dama.org.br/>. Acesso em: 10 nov.
DATAFLUX Corporation. 2007. The Data Governance Maturity Model Establishing the People, Policies and Technology That Manage Enterprise Data. Disponível em < http://www.sas.com/offices/NA/canada/lp/DIDQ/DataFlux.p df>. Acesso em: 10 out. 2014.
Felici, M., Koulouris, T. e Pearson, S. 2013. Accountability for Data Governance in Cloud Ecosystems. IEEE International Conference on Cloud Computing Technology and Science, p. 327-332.
Freitas, P. A. et al. 2013. Aspects of data quality that cause impact on business intelligence systems. Computational Science and Engineering (CSE), IEEE 16th International Conference. 76–80.
Haider, W. e Haider, A. 2013. Governance structures for engineering and infrastructure asset management. Technology Management in the IT-Driven Services (PICMET), IEEE Proceedings of PICMET’13. 1229–1238.
Khatri, V. e Brown, C. V. 2010. Designing data governance. Communications of the ACM. 53, 1(Jan. 2010), 148–152.
Mosley, M. et al. 2009. The DAMA Guide to the Data Management Body of Knowlegde, 1ª edição, USA, Technics Publications, LLC, 406 p.
Olama, M. M. et al. 2014. A qualitative readinessrequirements assessment model for enterprise big-data infrastructure investment. In: SPIE Sensing Technology Applications.
Otto, B. 2011a. A morphology of the organisation of data governance. University of St. Gallen, Institute of Information Management, Müller-Friedberg.
Otto, B. 2011b. Organizing data governance: findings from the telecommunications industry and consequences for large service providers. Communications of the Association for Information Systems, 29, 1(Jan. 2011), 45–66.
Rosenbaum, S.2010. Data Governance and Stewardship: Designing Data Stewardship Entities and Advancing Data Access. Health services research, 45, 5p2, 1442-1455.
Sampieri, R. H., Collado, C. F. e Lucio, M. P. B. 2006. Metodologia de Pesquisa, 3ª edição, São Paulo: McGrawHill, 583p.
Soares, S, Deutsch, T., Hanna, S. e Malik, P. 2012. Big Data Governance: A Framework to Assess Maturity, Disponível em < http://ibmdatamag.com/2012/04/big-datagovernance-a-Framework-to-assess-maturity/>. Acesso em: 10 out. 2014.
Soares, S. 2012. A Framework that Focuses on the “Data” in Big Data Governance, Disponível em < http://ibmdatamag.com/2012/06/a-Framework-that-focuseson-the-data-in-big-data-governance/>. Acesso em: 10 out. 2014.
Tallon, P. P. 2013. Corporate Governance of Big Data: Perspectives on Value, Risk, and Cost. Computer, IEEE. 46, 6(Jun. 2013), 32–38.
Weber, K., Otto, B. e Osterle, H. 2009. One size does not fit all—a contingency approach to data governance. Journal of Data and Information Quality (JDIQ). 1, 1(Jun. 2009).
Yin, R. K. (2009). Case Study Research: Design and Methods, 4th edition. California: SAGE Publications, Inc., 217p.
Publicado
26/05/2015
Como Citar
BARATA, André; PRADO, Edmir.
Governança de Dados em Organizações Brasileiras. In: SIMPÓSIO BRASILEIRO DE SISTEMAS DE INFORMAÇÃO (SBSI), 11. , 2015, Goiânia.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2015
.
p. 267-274.
DOI: https://doi.org/10.5753/sbsi.2015.5826.
