The Goal-Oriented Business Intelligence Architectures Method: A Process-Based Approach to Combine Traditional and Novel Analytical Technologies

• Main Author: Fekete, David
• Format: Dissertation
• Language: English
• Published: ProQuest Dissertations & Theses 01-01-2020
• Subjects: Architecture; Big Data; Business intelligence; Computer science; Data analysis; Data processing; Data warehouses; Information science; Management; Requirements analysis; Research methodology; Technology; Value chain; Writing
• ISBN: 9798496566230

An abundance of new analytics technologies emerged since the advent of the Big Data trend and enabled new Business Intelligence (BI) use cases, which were not possible with traditional technologies. While Data Warehouses were the primary choice for traditional BI architectures, the technology selection and architectural patterns when constructing a customized BI architecture nowadays are less clear due to the many new technological possibilities. To address this situation, design science research was conducted to outline key determinants for technology selection in BI architectures and examine architectural usage patterns including Big Data technologies. Based on this, the Goal-oriented Business Intelligence Architectures (GOBIA) method was constructed and evaluated. The GOBIA method includes a BI reference architecture, which covers both traditional and novel as well as functional and technological components. Using this, a development process supports the construction of a customized BI architecture by guiding the technology selection for a specific use case and its goals.