Details

Autor(en) / Beteiligte

• Borges, Fernanda Coelho

Titel

Assessing Business Intelligence & Analytics Maturity in Portuguese Companies with TDWI Model

Ort / Verlag

ProQuest Dissertations & Theses

Erscheinungsjahr

2023

Link zum Volltext

• ProQuest

Quelle

ProQuest Dissertations & Theses A&I

Beschreibungen/Notizen

• The adoption of Business Intelligence and Analytics solutions is becoming increasingly common among companies, because it has already been proven that they can efficiently support the decision-making process and ensure a data-driven culture. In Portugal, this Analytics solutions usage is widespread, especially in the Lisbon Metropolitan Area (AML), where the majority of the country's companies are located. However, it is perceived that certain companies may not be fully extracting the existing potential of these solutions because it is not enough to simply use these solutions, but rather to understand where they are leading the company. Thus, there is a need to assess the existing Analytics systems in these Portuguese companies and understand how advanced they are and where they can improve. Therefore, this study aims to evaluate the maturity level of Analytics systems in companies from different sectors, sizes, and revenue, all located in the AML. For this purpose, quantitative research was conducted using the Survey method. To assess the maturity level, the TDWI model was applied, which analyzes the companies' Business Intelligence systems from the perspective of 5 different dimensions based on the responses to a questionnaire consisting of 52 questions. According to the final score of the survey, companies are classified into five possible stages: Nascent, Early, Established, Mature, or Advanced/Visionary. The questionnaire received responses from 53 different companies, with the majority of them classified as "Established" in terms of maturity level. The dimension that performed the best was Organizational, while the Analytics dimension obtained the lowest result. The questionnaire results showed that, despite the systematic adoption of Analytics tools by most companies, there is a shortage of workforce and an urgent need for investments in training programs focused on this area, both at the academic and business levels. The Analytics dimension, although not yielding unfavorable results, clearly indicates areas for improvement, particularly in terms of taking greater advantage of Predictive and Prescriptive Analysis. The application of the TDWI model in a specific company or sector, the use of other maturity models applied in the same context as this research and the combination of the TDWI model with qualitative methods are suggestions for future academic work.