Methods For Advancement Of Business Intelligence Services

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Methods For Advancement Of Business Intelligence Services

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By Carlos Andrés Tavera Romero Carlos Andrés Tavera Romero Scilit Google Scholar 1, * , Jesús Hamilton Ortiz Jesús Hamilton Ortiz Scilit Google Scholar 2 , Osamah Ibrahim Khalaf Osamah Ibrahim Khalaf Scilit Google Scholar 3 and Andrea Ríos Pra Andrea Rios Prado Scilit Google Scholar 1

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Received: July 2, 2021 / Revised: August 16, 2021 / Accepted: August 16, 2021 / Issued: September 7, 2021

Industry 4.0 is a set of technologies that companies need to drive their innovation strategies and respond quickly to dynamic markets. Our primary focus is on interconnectivity, digital technologies, predictive analytics, and machine learning to revolutionize the way businesses operate and develop. Therefore, this article proposes and motivates the implementation of Industry 4.0 in organizations. Explore cutting-edge technology and review the current state of business intelligence (BI) technology. We will show you how we are positively impacting organizations at the economic and business level in terms of decision-making, as well as some success stories that have been implemented in various business, academic and social settings. and the government environment. It also touches on the promising future of Industry 4.0, primarily in BI, and how companies should face this revolution. This article provides a contribution of knowledge regarding the current status and positive impact of Industry 4.0, the high development of the technology when implemented in organizations, and the harmonization of production with intelligent digital technologies.

Business intelligence (BI) is defined as a decision-making process supported by the integration and analysis of an organization’s data resources. In fact, information is recognized as the most valuable asset of an enterprise, and information is a fundamental resource for enterprise development, so the role played by his BI in several types of enterprises is becoming increasingly important. It has become.

Data now constitutes a new kind of economic asset, similar to currency and gold [1], making BI both an information technology (Industry 4.0) challenge and a very important management challenge. . Its importance has been particularly recognized in the development of analysis-based decision-making capabilities that are reflected in software and computer systems [2].

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With the advent of Industry 4.0, the business environment has become more complex. Therefore, to quickly respond to these dynamic markets, companies require innovation and advanced technology [3]. In this context, technological tools such as business intelligence (BI) are needed both for processing information and for making the right decisions at the enterprise level. When this technological tool is introduced into an organization, it can provide several benefits such as architecture, efficient information, and customer data management [4]. This approach gives companies a clearer picture of how important their BI will be in all different environments.

The highly volatile business environment and opportunities that arise within the economy require fast and efficient decision-making processes. Tracking these dynamic changes within and outside the organization while maintaining sustainable goals can be a real challenge. However, this is possible thanks to various modern concepts and available tools, such as Industry 4.0 and BI [5].

A study in Thailand, which collected 500 questionnaires from PYME managers, found that Industry 4.0 elements such as big data, IoT and smart factories are playing a positive role in accelerating the adoption of information technology (IT). It turns out. It contributes to sustainable performance [6].

According to Szursalczyk’s research, the concept of Industry 4.0 varies greatly between countries, sectors and companies, but most people perceive it as a great opportunity to develop and improve competitiveness. . .

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According to his 39 studies cited in Table 1, other environments are also positively affected by his BI. Among other environments, he is most positively influenced by BI, with industrial or business environments at 56%, as evidenced by his 22 studies out of 39 reviewed. Here, the academic environment ranks second with his 21%, with a total of 8 studies published out of 39 reviewed. This document details the various environments where BI can collectively have a positive impact. This document is a review of existing technology.

This article motivates companies to adopt or adopt technologies covering Industry 4.0 and presents the state-of-the-art technologies and benefits identified by the use of these tools covering BI and Industry 4.0 concepts. This contribution will help small and medium-sized enterprises, as these technologies support their development and continued growth, facilitating processes and operational aspects through intelligent digital technologies.

The motivation for writing this article was to determine the impact of Industry 4.0 on the management and business processes of all companies, regardless of their size and sector, and based on studies conducted in different countries, the transformative The purpose is to demonstrate the practical contribution of this concept. many companies.

The purpose of this article is to accelerate the adoption of Industry 4.0 and highlight its positive impact on companies committed to change and innovation.

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The selection of documents for this paper was done through electronic sources: IEEE, Scopus, and Science Direct. These information sources were selected as the basis for indexing and cataloging from Q1 to Q3 because they are pioneers in the technology knowledge base and have received much research. First, 3689 articles were identified as an initial basis, 1354 articles and conference proceedings were selected from journals, 1160 articles corresponding to IEEE sources, 745 were selected by Scopus, and finally Science Direct 470 articles were filtered. After this identification, articles within 1 to 3 years of publication were selected in search of updated information, and this filter produced 1774 articles. Files that did not contain business intelligence or similar terms were then excluded, and this process produced 650 documents. Ultimately, 44 papers were selected, including research, case studies, and literature reviews on business intelligence, big data, Industry 4.0, and the Internet of Things. This process is illustrated in Figure 1.

Review articles can be classified into several categories based on subject, evaluation, inference, discussion, etc. [8] identified a list of the main categories and methodological aspects of search, analysis, and synthesis, shown in Table 2.

The structure and approach of this paper corresponds to state-of-the-art reviews as shown in Table 2. It also addresses this issue, contrasting the approaches of different sources and suggesting how these can guide future research on this subject. Regarding the synthesis method, the document is organized by thematic points and sources as appropriate [9].

BI has become essential to strategic decision-making in businesses and governments around the world. It plays a critical role in business survival, relationships with other companies, counterintelligence, and maintaining objectives, both short-term and long-term goals. Furthermore, research [10] confirms the benefits of BI implementation, including improved performance, efficiency, productivity, business growth, resource planning, supplier-buyer relationships, and cost savings, ultimately leading to competitive advantage. [11].

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Based on these studies, we categorized the studies considering the different reasons that motivated the authors of these studies to consider his BI. Motivations are classified into five different categories and are the most cited reasons for successful implementation in a total of 19 different studies. These categories are shown in Table 3.

As shown in Table 3, organizations are faced with large datasets that cannot be used without BI to motivate competitive advantage [12]. To make better decisions, organizations use BI to build insights from their data. BI solutions follow a BI architecture. The use of these technologies in all areas including healthcare, automotive, finance, gaming, environmental monitoring, agriculture, sports, energy management, and safety is changing the perspective of work.

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