Dashboard for data-driven decision support in small and medium enterprises: a web-based approach

Sammanfattning: This thesis addresses the design of a productivity dashboard for small and medium-sized enterprises (SMEs) to track key performance indicators (KPIs) and highlight the requirements for SME’s undergoing the initial implementation of business intelligence (BI). The objective is to develop an easy-to-use web application prototype that incorporates a dashboard with data source selection, while considering research framework requirements and limitations. Further, the prototype aims to fulfil the conceptual requirements of the tool used for decision support systems, including remote access, scalability, customization, and intuitive data presentation.   The thesis successfully developed a prototype web application that allows remote access through a browser. The interface of the application received positive feedback from respondents and demonstrates high usability. As a result, the prototype's scalability is confirmed through the gradual integration of new functionality, depicted in a hierarchical diagram to guide future enhancements. However, limitations arise from the technology choices, making the integration of new data sources more challenging due to specific data structure and attribute requirements. The study provides clear guidelines and inspiration for SMEs and web developers in integrating BI tools during the initial phase of adopting decision support systems. The research offers a well-documented development and evaluation process, empowering SMEs to make informed decisions when implementing BI solutions.