Os fatores de influência na decisão de escolha entre softwares de business intelligence

Detalhes bibliográficos
Ano de defesa: 2011
Autor(a) principal: Jeronimo, Louremir Reinaldo
Orientador(a): Leite, Jaci Corrêa
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Não Informado pela instituição
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: https://hdl.handle.net/10438/8494
Resumo: The current economic scenario leads companies towards more and more dynamic performances by using all information available to enhance their decision processes. In order to achieve such target, many organizations have acquired business intelligence systems. The process of selecting this kind of system is difficult and different from the one used for other business acquisitions. Furthermore, it is influenced by intangible factors, which renders the application of the usual financial analysis techniques to support investment decisions impossible. It can then be said that the choice of business intelligence software is based on a set of factors, both tangible and intangible. This study aims mainly at identifying and establishing a ranking of the principal factors that influence the decision of choosing among business intelligence systems, and focused companies in the real estate development business operating in the Great São Paulo area. It also tries to identify – among the list of factors raised – the possible existence of aspects that determine the choice decision. The search was carried out by interviewing 12 people who have participated in any processes of choice of business intelligence system decision. Some of the interviewees work in IT, whereas others are in the business areas of seven real estate development companies operating in the Great São Paulo area. The evaluation of the research resulted in the identification of the most important factors and their hierarchical classification, enabling the establishment of a statistically valid ranking according to the Kendal’s coefficient of concordance, showing the 14 most influent factors in the choice decision. From that total, only 3 could be classified as determining or non-determining; the remainder did not provide answer patterns statistically valid for conclusions. After analysing the selection process followed by the 7 companies in the present research, two phases influenced by distinct factors were detected. Later, studying those phases together with the identified factors in the ranking, it was possible to propose a selection process aiming at a possible reduction of time and costs for the achievement of such activity. The theoretical contribution of this study is to complement the researches that identify the factors that influence the process of systems choice decision, specifically business intelligence ones, as it establishes a ranking of importance for the items identified, and also the relationship among important factors and specific phases in the process of selection herein identified.