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.
Organizations in the modern era are under increasing pressure from the socioeconomic environment to seek out various technological methods/tools that might encourage the efficient collection, ...processing, and evaluation of massive volumes of data from disparate and scattered sources to provide guidelines for exploring actual ideas. Thus, this study focuses on how firms use modern instruments in their BI system development processes. This article also suggests the machine intelligence-based demand forecasting system (MI-DFS) for smarter choices in the digital sphere. This method uses big data analytics and a machine learning algorithm to predict the future demand for a product or service. This system gauges the level of acceptability of business intelligence by administering organized questionnaires and interviews with customers and service providers. Using properly classified test data, the results of many experiments show the effect of various forms of machine intelligence. Several learning algorithms were compared to the MI-DFS in terms of efficiency. Recurrent Neural Networks (RNNs) are a supervised learning technique for one-dimensional time series used for demand forecasting. The RNN model achieves the highest F1-measure and prediction accuracy. The proposed model will need to incorporate the financial decision assistance system.
Business Intelligence (BI) is a powerful tool that integrates systems and processes to extract data from diverse sources, encompassing vast datasets in various formats. Its purpose is to present ...meaningful information through multiple platforms, employing meticulously designed dashboards. Previous research has revealed that organizations often embark on large-scale BI integration; however, the failure rate in meeting expectations surpasses 70%. Consequently, this study aims to uncover the obstacles and related issues pertaining to BI implementation at the organizational level within Selected Saudi Public Universities (SSPUs) that have been practicing BI since 2018. Employing a qualitative approach, the study utilizes semi-structured focus group discussions (FGDs) to collect data. The collected textual data is thematically analyzed using a reflexive thematic analysis approach and NVivo software. The findings indicate that SSPUs follow a unified process comprising various implementation stages. The main themes within this process encompass the pre-implementation of BI, the implementation itself, the consequences of BI implementation, and the barriers encountered during implementation. This study contributes to the existing body of knowledge by providing comprehensive insights into BI implementation obstacles, specifically within SSPUs and, more broadly, within the mainstream of Saudi public universities. Additionally, it offers a roadmap for higher education institutions, enabling them to tailor their services and enhance revenue generation in alignment with Saudi Arabia's Vision 2030.
With the development of the global economy and the advancement of science and technology, all walks of life are increasingly relying on information technology. The business field is also constantly ...improving its information system-business intelligence(BI) system. The use of information technology has also made the competition in the business field more and more fierce. If an enterprise wants to discover the market and seize business opportunities in the cruel business competition, it not only needs the business mind of the enterprise decision makers, but also needs a scientific and accurate set of, with the help of fast BI systems. This paper uses big data technology, data warehouse and ETL technology to design a retail business intelligence system. Easy-to-accept knowledge to provide decision-making assistance for enterprises. The application of business intelligence system has been paid more and more attention by people, and has gradually become a new research hotspot.
A medical organization is a complex body comprising different units and processes which unequivocally pose dilemmas related to hospital management. In this study, we summarize the requirements ...emerging from hospital indicators as they relate to medical management and propose a new architecture that can effectively support these requirements. The most important characteristics of this indicator based BI (BI) system are: (1) indicator data collection automation, (2) demonstration of a simplified BI key performance indicator(KPI) model using the Taiwan Quality Indicator (TQIP) project, (3) provision of a convenient and effective graphical user interface, and (4) support for outer feedback information being rejoined into a Data Warehouse for indicator comparison analysis. PUBLICATION ABSTRACT
Business Intelligence (BI) is on everyone's lips nowadays, since it provides businesses with the possibility to analyze their business practices and improve them. However, Small and Medium ...Enterprises (SME) often cannot leverage the positive effects of BI because of missing resources like personnel, knowledge, or money. Since SME pose a major form of business organization, this fact has to be overcome. As the retail industry is a substantial part of the SME branch, we propose an inter-organizational approach for a BI system for retail SME, which allows them to collaboratively collect data and perform analysis task. The aim of our ongoing research effort is the development of such a system following the Design Science Research Methodology. Within this article, the status quo of current BI practices in SME in the retail industry is analyzed through qualitative interviews with ten SME managers. Afterwards, adoption and success factors of BI systems and Inter-organizational Information Systems are worked out in a comprehensive structured literature review. Based on the status quo and the adoption and success factors, first requirements for the acceptance of an inter-organizational BI system are identified and validated in another round of qualitative interviews. This leads to nine functional requirements and three non-functional requirements, which can be used for designing and implementing an inter-organizational BI system for SME in the following research efforts.
Business intelligence (BI) is a strategic approach for systematically targeting, tracking, communicating and transforming relevant weak signs
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The authors use the concept of weak sign instead of ...‘weak signal’ as proposed by
Ansoff, 1975 because they feel the word ‘signal’ implies greater quantitative measurability. However, authors continue to use it for the same purpose.
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into actionable information on which strategic decision-making is based. Despite the increasing importance of BI, there is little underlying theoretical work, which directly can guide the interpretation of ambiguous weak signs. This paper gives an insight into the issue through a new strategic business intelligence system called
PUZZLE. We describe this system and validate it by designing a prototype, test the system using in-depth interviews, and hold learning sessions in order to further knowledge about BI. The main results from tests show that: interpreting weak signs is potentially important for senior managers, consultants, and researchers; interpretation can be achieved gradually by bringing the weak signs together using a tracking form based upon the concept of actor/theme/weak signs/enrichment /links; interpreting weak signs is a complex process of establishing links between the weak signs. Final results show that the individual cognitive process appears heuristic when interpreting weak signs. Implications for strategic management practice and research are addressed.
This work proposes the design of an intelligence system for a health organization, as there is a need to generate indicators for the improvement of processes and decision making at all levels of the ...organization. Therefore, the objective of this study is to implement a system that allows us to exploit the information and to generate new business opportunities in the various areas of interest to the company. In addition, the processes can be automated and optimized by the visualization and understanding of the indicators, facilitating the availability of information and add value to the new decisions within the organization. For this reason, the proposed design simulates a web environment designed with QlikView business intelligence software, which consists of a connection to a SQL server database that has been developed using SQL server data tools under the dimensional design methodology of Kimball. The results of this work could help to health organization to make the best decision to improve its management and productivity. This system also could be applied to other similar business.
Information systems have become important factors in a company, where information systems are useful in providing useful information for the company itself. The information system helps companies ...implement corporate activities at the beginning of the process until the decision making. In the concept Information system, we know the term of vertical information system, which is another strategy for increasing vertical information capacity. Vertical information system includes the periodic report, written information, and computer-based communications distributed to managers. In this article, discusses the approach in the development of vertical information system which will be preceded by comparison of operational systems, management information systems, and business intelligence systems. We will give explanations about the role in the BI system in an organization, the challenges faced in the implementation of vertical information systems, approaches in vertical information systems, approaches that we choose, and how it implement in civil servant teachers data in Manado City.
Increasing amount of data and the need for analysis of this data have made the concept of Business Intelligence System (BIS) more important to plan the future of businesses. BIS is a set of ...technologies, processes, methodologies, and architectures that enable the processing of large amounts of data and their transformation into high-quality information. Companies implement BIS for monitoring business processes, receiving reports on systems operation, distributing the right information in the right way at the right time and analyzing business indicators. BIS has a mixed structure with many different and conflicting criteria. Nevertheless, it is difficult to assess and decide on alternatives if information is not clear. In this study, the hesitant fuzzy linguistic term set (HFLTS) methodology overcomes the uncertainty related difficulties of this multi-criteria decision-making (MCDM) problem. This methodology facilitates decision-making processes of experts in hesitate situations. The integrated hesitant fuzzy linguistic (HFL) MCDM methodology is presented to determine the most appropriate BIS. HFL Analytic Hierarchy Process (AHP) method is implemented to find the criteria weights. Then, the most important BIS alternative is determined with HFL Complex Proportional Assessment (COPRAS) method. Lastly, an application is given to demonstrate the potential of this methodology.
