Self-Service Business Intelligence: Meeting User Needs in a Data-Rich World

In the current data-driven era, businesses continuously generate vast quantities of data, underscoring the critical importance of deriving actionable insights from this data deluge to inform decision-making. Despite the potential of Business Intelligence (BI) tools, a noticeable gap persists. Most existing BI tools require extensive customization for non-technical users, posing barriers to accessing and comprehending essential business metrics. This paper introduces a novel self-service business intelligence (BI) system that utilizes the Python programming language. The system aims to address the existing gap in the field. The system places emphasis on several key factors, including ease of use, flexibility in data formatting, preprocessing capabilities, relevancy of data insights, and the inclusion of a user-friendly interface. The evaluation process dif-fers from the traditional approach by including a direct comparison with the widely recognized software Microsoft Power BI. Encouragingly, our findings indicate a significant enhancement in the user experience for non-technical users. This affirms the effectiveness and usability of our system in facilitating more informed decision-making. The Python-based solution we have developed enables individuals without technical expertise to effectively engage with, examine, and extract valuable insights from intricate datasets, while circumventing the generally challenging learning process associated with business intelligence (BI) technologies. As we collectively navigate the data-driven environment, our endeavors contribute to the improvement of the accessi-bility and usability gap within the domain of business intelligence.