The main purpose of this thesis is to develop a data quality scorecard (DQS) that aligns the data quality needs of the Data warehouse stakeholder group with selected data quality dimensions. To comprehend the research domain, a general and systematic literature review (SLR) was carried out, after which the research scope was established. Using Design Science Research (DSR) as the methodology to structure the research, three iterations were carried out to achieve the research aim highlighted in this thesis. In the first iteration, as DSR was used as a paradigm, the artefact was build from the results of the general and systematic literature review conduct. A data quality scorecard (DQS) was conceptualised. The result of the SLR and the recommendations for designing an effective scorecard provided the input for the development of the DQS. Using a System Usability Scale (SUS), to validate the usability of the DQS, the results of the first iteration suggest that the DW stakeholders found the DQS useful. The second iteration was conducted to further evaluate the DQS through a run through in the FMCG domain and then conducting a semi-structured interview. The thematic analysis of the semi-structured interviews demonstrated that the stakeholder's participants' found the DQS to be transparent; an additional reporting tool; Integrates; easy to use; consistent; and increases confidence in the data. However, the timeliness data dimension was found to be redundant, necessitating a modification to the DQS. The third iteration was conducted with similar steps as the second iteration but with the modified DQS in the oil and gas domain. The results from the third iteration suggest that DQS is a useful tool that is easy to use on a daily basis. The research contributes to theory by demonstrating a novel approach to DQS design This was achieved by ensuring the design of the DQS aligns with the data quality concern areas of the DW stakeholders and the data quality dimensions. Further, this research lay a good foundation for the future by establishing a DQS model that can be used as a base for further development.

p. 1 - 119 / Submitted by Santiago Fabio (fabio.ssantiago@hotmail.com) on 2013-01-16T21:07:26Z No. of bitstreams: 1 ddddddd88.pdf: 358295 bytes, checksum: 08b0fc127bbc330b70652af8ce82b292 (MD5) / Made available in DSpace on 2013-01-16T21:07:26Z (GMT). No. of bitstreams: 1 ddddddd88.pdf: 358295 bytes, checksum: 08b0fc127bbc330b70652af8ce82b292 (MD5) Previous issue date: 2009 / Diante de diversos estudos que relacionam a qualidade do software à qualidade do processo que o gera e da crescente pressão do mercado de TIC (Tecnologia da Informação e Comunicação) pela criação de produtos qualidade com prazos e custos cada vez menores, as empresas produtoras de software passaram a investir na utilização de processos no desenvolvimento de softwares. Diversos padrões e modelos de qualidade foram criados e difundidos com foco na definição de processos, dentre eles os modelos de maturidade da capacidade CMM (Capability Maturity Model) e CMMI (Capability Maturity Model Integration), criados pelo SEI (Software Engineering Institute), que tiveram uma grande aceitação mundial. Em face desta realidade, a SUNAC/SDR (Superintendência de Negócio, Administração Tributária e Comércio Exterior/Salvador), regional do SERPRO (Serviço Federal de Processamento de Dados), conquistou em 2003 o nível dois do CMM e desde então trabalha no aperfeiçoamento do processo de desenvolvimento de software para atingir níveis superiores do modelo CMMI. A presente pesquisa explicita a percepção dos profissionais da SUNAC/SDR, que trabalharam nesta unidade no intervalo de ]2003 - 2008], sobre como a utilização dos modelos CMM / CMMI afeta a qualidade dos produtos gerados ao longo do ciclo de vida de desenvolvimento de software. Verificou-se que os profissionais perceberam a importância de utilizar um processo de desenvolvimento para a melhoria dos produtos gerados. Além disso, perceberam que houve melhoria nos produtos desenvolvidos por eles e também no produto final entregue ao cliente após a implantação do processo. / Salvador