A review of the state of the art in business intelligence software

Srivastava, Gautam; Muneeswari, S; Venkataraman, Revathi; Kavitha,; Parthiban, N.

doi:10.1080/17517575.2021.1872107

Cited by 14 publications

(9 citation statements)

References 35 publications

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“…According to Srivastava et al [53], a BI architecture has six stages: (i) metadata: the technical and business process for storing data in a data layer repository; (ii) data source: internal and external data sources; (iii) data management: the data manipulation process, which must include a data plan and consistent methods for accessing, organizing, managing, maintaining and planning data for analysis; (iv) data storage: data can be stored in databases; (v) data analysis: data are sent to the user for analysis; (vi) BI tools and their resources: BI tools are integrated with analytical performance to examine data from BI resources in order to achieve the desired results, such as reports, graphs, dashboards, or other ad hoc analyses.…”

Section: Definition Of Architecturementioning

confidence: 99%

Roadmap for Implementing Business Intelligence Systems in Higher Education Institutions: Systematic Literature Review

Sequeira,

Reis,

Alves

et al. 2024

Information

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Higher education institutions (HEIs) make decisions in several domains, namely strategic and internal management, without using systematized data that support these decisions, which may jeopardize the success of their actions or even their efficiency. Thus, HEIs must define and monitor strategies and policies essential for decision making in their various areas and levels, in which business intelligence (BI) plays a leading role. This study presents a systematic literature review (SLR) aimed at identifying and analyzing primary studies that propose a roadmap for the implementation of a BI system in HEIs. The objectives of the SLR are to identify and characterize (i) the strategic objectives that underlie decision making, activities, processes, and information in HEIs; (ii) the BI systems used in HEIs; (iii) the methods and techniques applied in the design of a BI architecture in HEIs. The results showed that there is space for developing research in this area since it was possible to identify several studies on the use of BI in HEIs, although a roadmap for its implementation was not identified, making it necessary to define a roadmap for the implementation of BI systems that can serve as a reference for HEIs.

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Section: Definition Of Architecturementioning

confidence: 99%

Roadmap for Implementing Business Intelligence Systems in Higher Education Institutions: Systematic Literature Review

Sequeira,

Reis,

Alves

et al. 2024

Information

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“…Furthermore, dashboard serves as the front-end application for data visualization and performance management. It enables users to create graphs, charts, widgets and ad hoc reports and decision-makers to track the key performance indicators of the business (Srivastava and Venkataraman, 2022; Alsmadi et al , 2022b). Figure 1 shows a three-layer framework for BIS components and stages.…”

Section: Literature and Theoretical Foundationsmentioning

confidence: 99%

The efficiency measurement of business intelligence systems in the big data-driven economy: a multidimensional model

Al-Okaily

Teoh

Al-Okaily

et al. 2023

IDD

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Purpose There is a growing importance of business intelligence systems (BIS) adoption in today’s digital economy age which is characterized by uncertainty and ambiguity considering the magnitude and influence of data-related issues to be solved in contemporary businesses. This study aims to investigate critical success factors that affect business intelligence efficiency based on the DeLone and McLean model in Jordanian banking industry. Design/methodology/approach A quantitative research method through a questionnaire was used to collect data from actual users who depend on business intelligence tools to make operational and strategic decisions in Jordanian banks. The data obtained were tested using the partial least squares–structural equation modeling approach. Findings The survey findings attest that system quality, information quality, user quality, user satisfaction and user performance are important factors and contribute to business intelligence efficiency in the Jordanian banking industry. Practical implications The findings gained from this work can help policymakers in Jordanian banks to improve the business intelligence success and organizational performance. Originality/value To the best of the authors’ knowledge, this study is the first of its kind to propose a theoretical model to assess drivers of BIS efficiency from the Jordanian banks’ perspective.

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“…Other researchers state that other benefits offered by business intelligence are: saving time to find specific information, in addition to generating graphs and indicators for managerial knowledge (Srivastava and Venkataraman, 2022). In addition, with the information entered into the database by each department, administrators can determine which are the weaknesses or critical points that generate higher expenses in order to apply appropriate strategies to reduce expenses/costs (Mehanović and Durmić, 2022) and also decide on effective marketing strategies (Utomo, et al, 2022).…”

Section: Review Of the Scientific Literaturementioning

confidence: 99%

Analysis of Knowledge and Implementation of Business Intelligence Solutions in Romanian SMEs

Tzedec¹,

Neacșu²,

Bucur³

2022

New Trends in Sustainable Business and Consumption

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The present article has as main objective the analysis of the current situation concerning the knowledge and implementation of Business Intelligence (BI) solutions in Romanian SMEs, while also focusing on negative and positive aspects related to BI. The research was conducted in SMEs from Romania, ranging from different sectors, with the final aim of pointing out drivers and barriers as far as corporate business intelligence tools are concerned, in order to increase business efficiency. The method used was quantitative and descriptive research, being used a sample of 37 managers of Romanian SMEs. The questionnaire was used in order to be able to characterize the degree of knowledge and implementation of BI in the researched corporations as well as BI impact on the decision-making process. The study concluded that 70% of the companies surveyed have been using business intelligence solutions for less than 5 years, meanwhile the rest, respectively 70% have been implementing BI for more than 5 years. The most critical risk factors for the implementation of a BI are the number of active BI users and improvement of business performance. Also, the SMEs surveyed stipulated that the reasons for using BI are: improvement of business performance and time, increased profitability improvement of processes and increase of client satisfaction. The research could lead Romanian SMEs to intensify their BI implementation in order to make more informed decisions that could increase the overall competitiveness of SMEs.

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A review of the state of the art in business intelligence software

Cited by 14 publications

References 35 publications

Roadmap for Implementing Business Intelligence Systems in Higher Education Institutions: Systematic Literature Review

Roadmap for Implementing Business Intelligence Systems in Higher Education Institutions: Systematic Literature Review

The efficiency measurement of business intelligence systems in the big data-driven economy: a multidimensional model

Analysis of Knowledge and Implementation of Business Intelligence Solutions in Romanian SMEs

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