Integration Of Business Intelligence Research Articles

Understanding the Nexus: Business Intelligence and its Impact on Customer Experience Across Diverse Work Sectors

In the 21st-century hyper-competitive business landscape, comprehending and improving customer experience (CX) is highly quintessential for sustainable success across diverse industry sectors. Customers today hold more options in pursuing a luxurious lifestyle compared to their predecessors, yet their expectations continue to be on a constant surge. To meet these rising expectations, today's organisations strongly emphasize incorporating the best industry practices to ensure a high-end customer experience [1]. One such practice that has been included in recent times is integrating business intelligence and analytics. By leveraging advanced analytics tools and techniques, businesses can extract valuable insights from vast datasets, enabling informed decision-making and proactive strategies [2]. Business intelligence and analytics play a vital role in this practice by providing real-time data analysis, predictive modelling, and actionable recommendations, empowering organizations to optimize operations, enhance customer experiences, and stay ahead in today's dynamic marketplace [3]. The following paper aims to explore the vital role Business Intelligence (BI) plays in enhancing customer experience across various sectors. By applying a comprehensive review and analysis methodology, the study will seek to investigate how BI tools, strategies, and analytics influence user experience metrics, organizational performance, and competitive advantage in disparate sectors. Moreover, it further aims to determine the significance of leveraging data-driven insights garnered through business intelligence processes to comprehend customer behaviours, preferences, and sentiments across diverse sectors, ranging from retail and hospitality to finance and healthcare. The paper will bolster the aforementioned analysis by synthesising empirical case analysis, diving into the multifaceted impacts of Business Intelligence and Analytics on Customer Experience. Furthermore, the paper aims to examine the role of BI in optimizing operational efficiencies, streamlining processes, and fostering innovation to meet evolving customer expectations and market demands. Alongside this, it will dive deeper into issues such as data privacy concerns, and underscore the importance of organizational culture, leadership support, and cross-functional collaboration in fostering a BI-driven CX-centric mindset within diverse work environments. Through empirical evidence and industry case studies, the paper will seek to demonstrate how Business Intelligence adoption correlates with improved customer satisfaction scores and profitability metrics across diverse sectors. Towards the end, the paper will present a concluding argument by highlighting key insights, implications, and the imperative of investing in robust data infrastructure, analytics capabilities, and talent development initiatives to unlock the full transformative power of Business Intelligence in driving superior customer experiences. It will eventually underscore the need for continuous evaluation, adaptation, and innovation in Business Intelligence strategies to stay abreast of evolving customer preferences, technological advancements, and competitive dynamics. By illuminating the transformative impact of Business Intelligence on Customer Experience metrics, organizational performance, and competitive advantage, the study aims to provide valuable insights and guidelines for leveraging data-driven strategies to drive customer-centric innovation and sustainable growth in an increasingly dynamic business landscape.

Secured finance handling for supply chain integrated business intelligence using blockchain application scenarios

Business intelligence is becoming more essential for supply chain administrators to make good decisions. The globalization of supply chains makes their management and control more challenging. Blockchain is a distributed digital ledger technology that guarantees traceability, transparency, and security and promises to ease global supply chain management issues. This paper proposes the Blockchain-assisted Secure Data Management Framework (BSDMF) for financial data handling for supply chain integrated business intelligence models. Analyzing, collecting, and demonstrating data could be important to a business, its supply chain performance, and sustainability. The blockchain can interrupt supply chain processes for improved finance handling, distributed management, and process automation. The study’s experimental result will help organizations deploy blockchain applications with intelligent business strategies to support supply chain management effectively. The simulation outcome has been implemented, and the recommended method achieves a computation time of fewer than 2 hours, an efficiency ratio of 97.4%, an error ratio of 94.1%, data authentication of 92.1%, and a data management ratio of 98.7%.

Effects of Business Intelligence, Organisation Learning and Innovation on the Performance of Small and Medium Scale Enterprises (SMEs) in South-West Nigeria

Business Intelligence (BI), both in process and product, is one of the methods used by organizations to develop and access useful information or intelligence that can help enhance their performance. This paper therefore evaluates the effect of business intelligence (BI), organizational learning (OL) and innovation (IN) on the performance of SMEs in the South West Nigeria. Ex-post facto design of descriptive survey was adopted for the study. Primary data were collected on SMEs from Southwest Nigeria. A structured questionnaire (r=0.77) was used to elicit information from selected respondents. The sample size of 400 was adopted as derived from Cochran sample size formula out of the population size of 299,401. The data obtained were analyzed using statistical and econometric techniques. The findings from the analysis through logistic regression showed that only Business Intelligent (organization learning and innovation) has a significant influence on firm performance. The study therefore concluded that firm performance could be boosted by the integration of business intelligence, organizational learning and innovation. Hence, it is suggested that Nigerian small and medium scale businesses that are yet to incorporate business intelligence-driven innovation into any part of their production and delivery processes should make a quick effort to do so.

The Impact of Big Data Predictive Analytics on Firm Performance: The Role of Cloud ERP and Business Intelligence Integration

The Impact of Big Data Predictive Analytics on Firm Performance: The Role of Cloud ERP and Business Intelligence Integration

An Integrated Business Intelligence Framework for Sustainable Risk Mitigation

This research paper examines the critical juncture of business intelligence and sustainable risk management in response to the increasing challenges faced by modern businesses. Our study recognizes that organizations must navigate uncertainties while prioritizing sustainability. It focuses on analyzing credit risk data. We present a comprehensive examination of predictive performance using Logistic Regression, Decision Tree, and K-Nearest Neighbors classifiers augmented by the Synthetic Minority Over-sampling Technique (SMOTE) for class rebalancing. The empirical findings presented through detailed tables and figures reveal intricate relationships and patterns within the data. This research also contributes to the broader discourse on responsible business practices by highlighting the integration of business intelligence in sustainable risk mitigation. Moreover, comparative analysis of machine learning algorithms under various resampling techniques further strengthens the framework’s reliability.

Optimizing Industrial Data Analysis: The Convergence of Business Intelligence and Dynamic Simulations in Chemical Process Management

Purpose: The project aims to leverage Business Intelligence integrated with dynamic simulations in the context of Industry 4.0, focusing on the implementation of a system for the dynamic analysis of a chemical reaction process. The system is designed to optimize data analysis and decision-making processes in large-scale industrial settings. Theoretical Framework: In the evolving landscape of Industry 4.0, the effective management of industrial data and processes is paramount. Traditional methodologies often overlook the potential of integrating Business Intelligence with dynamic simulations. This project proposes a novel approach, combining these elements to enhance process oversight and decision-making efficacy. Method: Utilizing PI System AVEVA/OSIsoft for structured data organization, the project implements a Business Intelligence framework applied to the dynamic simulation of a chemical reaction process. This method focuses on creating a harmonious integration of data analysis tools with real-time process simulations, aiming to improve operational efficiency and adaptability. Results and Conclusion: The implementation of this integrated system in a simulated industrial environment demonstrated a notable improvement in process analysis and decision-making efficiency. This indicates a significant advancement in the application of Business Intelligence in industrial operations, particularly in dynamic process simulations. Research Implications: This study underscores the importance of advanced data analysis techniques in modern industrial operations. The results suggest a substantial shift towards more data-driven, efficient, and adaptable process management strategies in Industry 4.0. Originality/Value: This research highlights the innovative application of Business Intelligence in conjunction with dynamic simulations for industrial processes. It showcases a pioneering approach in enhancing data analysis and decision-making capabilities in the context of Industry 4.0.

Retracted: Improving the Application of Blockchain Technology for Financial Security in Supply Chain Integrated Business Intelligence

Retracted: Improving the Application of Blockchain Technology for Financial Security in Supply Chain Integrated Business Intelligence

Towards Financial Sustainability: Integrating Business Intelligence in Fintech Operations

This study explores the integration of Business Intelligence (BI) techniques to foster sustainability within the Financial Technology (Fintech) sector. The background elucidates the transformative evolution of the Fintech industry and the increasing imperative to align its practices with sustainable principles. The problem statement addresses the gap in understanding the intricate relationship between BI strategies and sustainability within Fintech enterprises. Employing a mixed-methods approach, including literature review synthesis and the application of the Autoregressive Integrated Moving Average (ARIMA) model, our methodology seeks to provide a systematic and replicable framework for empirical investigation. The results encompass additive and multiplicative summaries, detrended and deseasonalized analyses, and partial and autocorrelation plots, shedding light on critical temporal dynamics and patterns within the Fintech domain.

Integrating business intelligence systems with customer relationship management systems. An approach for Business Organisations.

Integrating business intelligence systems with customer relationship management systems. An approach for Business Organisations.

Assessing the effect of business intelligence on supply chain agility. A perspective from the Jordanian manufacturing sector

This study aimed to examine the effect of integrating Business Intelligence (BI) into the supply chain on supply chain agility, within the Jordanian manufacturing sector. Based on the resource-based view of the firm, this study developed and examined a research model, to achieve its goal. The impact of three dimensions of BI including managerial, technical, and cultural competencies was examined. Using an electronic questionnaire, data was gathered from 462 administrative personnel and employees. Structural equation modeling techniques were employed to analyze the data. Results revealed that the three dimensions of BI have statistically significant positive direct effects on supply chain agility. In addition to that, the results revealed that BI cultural competence has statistically significant positive direct effects on BI technical and managerial competencies. This study contributes to the literature on the role of BI in promoting supply chain agility, from the perspective of a developing country. The findings of this study are expected to help organizations' administrations in making better decisions regarding employing BI to achieve an agile supply chain.

The Safe Financial Processing Method for Realizing Supply Chain Integrated Business Intelligence Using Blockchain Application Scenarios

In order to improve the financial processing effect of supply chain integrated business intelligence, this study applies blockchain technology to the financial processing of supply chain integrated business intelligence and conducts an evolutionary game analysis on the factors that affect the selection of information-sharing strategies for logistic service supply chain nodes. By establishing the evolutionary game model of logistic service integrators and logistic service providers under the strategy of information sharing and information nonsharing, the value of information sharing in the logistic service supply chain is discussed from a qualitative and quantitative perspective. In addition, this study constructs the expected profit mathematical model of a two-level logistic service supply chain composed of logistic service integrators and logistic service providers. The experimental research results show that the safe financial processing method for realizing supply chain integrated business intelligence using blockchain application scenarios has good results.

Improving the Application of Blockchain Technology for Financial Security in Supply Chain Integrated Business Intelligence

For major organizations, establishing financial shared service centers to unify the financial activities of entities in multiple countries and regions for bookkeeping and reporting has become the trend for financial and management optimization. Based on this, this paper selects security company A as a case study, introduces the emerging blockchain technology (BCT) as the core and embeds it into the concept of financial shared center, tries to explore a new model of financial shared service model under BCT from the theoretical perspective, and optimizes the original service model by improving its business process, creating visualized, supervisible, and traceable financial data processing capability, and expanding. This paper first examines the financial shared service model of Company A. This paper starts with the actual situation of Company A’s financial shared service model. Complex procedures, highly centralized information, unreasonable division of labor in corporate processes, and a lack of adequate information communication methods are discovered through process analysis. New requirements for accountants have emerged in the digital age, and the security protection of private keys in asymmetric encryption algorithms in organizations, particularly in large and medium-sized enterprises, must be done well.

A Critical Review of Organizing Knowledge Management for Innovation

This study critically reviews the literature that demonstrates the relevance of knowledge management process and business intelligence, as well as the challenges arising when it comes to organising for innovation in today’s business organisations. Hence, the to attain desired innovation it is important to integrate business intelligence (BI) and knowledge management (KM) for the diffusion of innovation. Hence, importance of integrating business intelligence (BI) and knowledge management (KM) for the diffusion of innovation. Organisations’ innovation dynamics and knowledge processes that lead competitive advantage of organisations are examined. Literature points that many organisations rely on individual employees’ knowledge and skills. As a result, information systems that enable knowledge management (KM) as a critical tool for gaining a competitive advantage (Campbell, 2012). The seminal argument in this study is that knowledge diffusion and knowledge externalities are the main drive of increase in economy. As a result, this is expected to be a win-win value proposition for such organisations integrating business intelligence and knowledge management. However, owing to changing business conditions and the rapidity of technological development, as well as the rising expenses involved with carrying out R&D operations in many of these organisations, maintaining competitive advantage through internal R&D alone is becoming increasingly challenging. The importance of innovation processes and network dynamics in the context of Integrated Knowledge Networks is explored, which provide feasible possibilities for utilising innovation as an interactive process as well as knowledge processes for creating business intelligence in organisations. Due to the challenges of organising for innovation, the organisations figured to rely on “Open innovation” approach to intentionally seek out unique knowledge and information outside of their organisational bounds. This study also discusses the challenges that organisations hurdle on in managing inter-organizational cooperation because of external knowledge sourcing techniques (Campbell, 2009). This is due, in part, to the fact that they span a wide range of organisations, people, and resources, as well as the interactions that exist between them. The creative processes and network dynamics are facilitated by an architecture that blends organisational and technical aspects in Integrated Knowledge Networks. Hence, the study focuses on twofold to sourcing external knowledge in particular: learning from international business environments and corporate venturing strategy for corporate incubators.

MEASUREMENT OF THE EFFECTS OF BUSINESS INTELLIGENCE APPLICATIONS ON PERFORMANCE IN HOSPITALS ACCORDING TO THE MANAGERIAL LEVELS: A CHAIN HOSPITAL APPLICATION

MEASUREMENT OF THE EFFECTS OF BUSINESS INTELLIGENCE APPLICATIONS ON PERFORMANCE IN HOSPITALS ACCORDING TO THE MANAGERIAL LEVELS: A CHAIN HOSPITAL APPLICATION Mustafa IŞIK [1] Onur YARAR [2] Didem Söylemez SUR [3] ABSTRACT Problem of the Research: Hospitals are matrix and complex organizations with many areas of expertise. In hospitals, multi-modular and integrated systems that can have multiple software and databases provide support in the execution of business processes within this complex organizational structure. Getting the right data at the right time for decision support purposes is often an important problem. In overcoming these problems, the problem of the research is what the contribution of integrated business intelligence applications solutions can be in decision-making stages from all levels of management. Purpose of the research: This research was conducted to investigate the effect of business intelligence reporting practices on performance according to managerial levels in hospital management systems. The research is a study conducted to measure the effect of business intelligence practices on performance in a chain hospital group that uses business intelligence in connection with the ERP (Enterprise Resource Planning) system with the highest number of hospitals in Turkey. The questionnaire study was conducted on 383 people. In this context, BI (Business Intelligence) architecture has been examined with all its components and information has been given about the benefits it provides to the enterprises. In the application developed as an example, a data warehouse modeling in accordance with the information required by the top management in hospitals, preparation of analyses, creation of presentation layer and presentation of the prepared analyses and reports on the control table were carried out. Material &Method: The universe of the research is composed of people who have the authority and access to use BI at MLP care group for this study. The number of authorized people on the ERP system was 591 and 65% of them have filled out the requested survey. 231 was our minimum number and for increasing the reliability we have modified our number of samples to 383. So 383 samples were reached to strengthen the validity and the reliability of the survey. In this sample range, it was also aimed to compare the performance impact between senior, intermediate and operational level managers. Conclusion: As a result of the research, it was determined that corporate business intelligence application screens at all types of managerial levels have a positive and significant effect on measurable performance indicators. In this context, when businesses monitor and control their operational activities through corporate business intelligence, it has been concluded that performance indicators provide less time loss, high reliability, integrated data, quality and accurate valuation advantages in the evaluation process. In the research, it was observed that the effect of performance results of operational managers' business intelligence applications from management levels was higher than that of senior and middle level managers. Keywords: Business Intelligence, Big Data, Corporate Performance Management, Hospital Information Management Systems, Data Analysis [1] Mustafa IŞIK, Asst. Prof. İstinye University Faculty of Economics, Administrative and Social Sciences, Department of Health Management/ mustafa.isik@mlpcare.com [2] Onur YARAR, Asst. Prof. Okan University, Healthcare Management, Turkey / onur.yarar@okan.edu.tr [3] Didem Söylemez SUR, Asst. Prof. Kent University, Healthcare Management, Turkey /didem.sur@kent.edu.tr

Integrated Business Intelligence and Analytics: The Case of the Department of the Navy

ABSTRACT From a stakeholder perspective, this study explores the viability of data analytics as a tool in government fraud prevention. Using an interview methodology, we analyze the implications of business intelligence and analytics fraud tools on procurement stakeholders. We find that implementing and integrating business intelligence and a fraud program streamlines processes by consolidating information and presenting data within a unique program. The functioning data analytics program increases our stakeholders' confidence level without alleviating their responsibility to perform due diligence in their management functions. Our stakeholders recognized a potential increase in workload; however, they acknowledged no perceived increase in undue administrative burden. JEL Classifications: M48. Data Availability: Data are available from the authors.

Optimizing Customer Relationship Management through Business Intelligence for Sustainable Business Practices

Amidst the dynamic landscape of contemporary business, the integration of Business Intelligence (BI) with Customer Relationship Management (CRM) emerges as a crucial paradigm for fostering sustainable business practices. This research investigates the synergy between BI-driven CRM strategies and sustainable operations, addressing the imperative to optimize customer relationships for sustainable business growth. Leveraging models such as BGNBD, and Gamma Gamma, and employing K-means clustering techniques, this study seeks to decode the intricate relationship between these strategies. The BGNBD model facilitates predictions of Customer Lifetime Value (CLTV), while the Gamma Gamma model estimates the Expected Average Profit, enabling a comprehensive understanding of customer behavior. Utilizing K-means clustering aids in customer segmentation, offering insights for targeted strategies. Visualization analyses, including the Elbow Method and Silhouette Plot, guide optimal cluster determination and cluster quality assessment. Ultimately, this research underscores the potential of BI-infused CRM approaches not only to drive profitability and enhance customer relationships but also to champion sustainable business practices. The findings provide a robust framework for businesses to craft and implement BI-enhanced CRM strategies, steering them toward sustainable growth while fostering customer-centricity and profitability in modern business environments.

Serious Adverse Events in Pediatric Procedural Sedation Before and After the Implementation of a Pre-Sedation Checklist.

ObjectiveProcedural sedation is considered by the Joint Commission on Accreditation of Healthcare Organizations as a high-risk procedure when performed in the emergency department (ED). A pre-sedation checklist is a set of items checked before any sedation. We evaluated the impact of a pre-sedation checklist on the rate of serious adverse events (SAE) in a pediatric ED.MethodsWe conducted a retrospective study comparing the rate of SAE in children treated with the combination of ketamine and propofol before and after the implementation of a pre-sedation checklist. The before-and-after periods lasted from 1.1.2013 to 30.6.2016 and from 1.7.2016 to 30.6.2019, respectively. Patient data were extracted from the electronic medical records using an integrated business intelligence information system.ResultsThe before-and-after cohorts included 1349 and 1846 patients, respectively. The two groups were similar with regard to age, sex, length and type of procedure, medications dosage, and level of physicians’ training. A total of 183/1349 (13.5%) and 420/1846 (22.7%) SAE were recorded during the before-checklist and after-checklist periods, respectively (p<0.0001). The rates of laryngospasm, apnea, and oxygen saturation ≤90% at the before-and-after checklist periods were 9/1349 (0.6%) and 30/1846 (1.6%); p<0.05, 48/1349 (3.5%) and 77/1846 (4.2%); p=0.37, and 123/1349 (9.1%) and 312/1846 (16.9%); p< 0.0001, respectively. All the SAE were successfully managed by the emergency physicians and no patient required hospitalization due to a SAE.ConclusionIn this large cohort of ED children who underwent deep sedation, the administration of a pre-sedation checklist was not associated with a reduction in SAE rate.

Role of Integrating Business Intelligence Systems and Knowledge Management in Supporting Decision-Making Process in Saudi Electricity Company

Role of Integrating Business Intelligence Systems and Knowledge Management in Supporting Decision-Making Process in Saudi Electricity Company

Integrating Business Intelligence and Analytics in Managing Public Sector Performance: An Empirical Study

Business intelligence and analytics (BIA) is emerging as a critical area to boost organizational performance. Nowadays, data is not only important and valuable to the organization but recognized as necessary to spike the organization performance and success. As a result, many organizations spend a considerable amount of investment toward obtaining faster accurate information on a real-time basis. The previous study revealed that even though many organizations use business intelligence technologies for obtaining information, yet they still lack analytics implementation. Therefore, this study aims to discover the integrated implementation factors of business intelligence and analytics in managing organizational performance, particularly for organizations of the public sector. In achieving this, a depth literature review was carried out to identify the influential factors in the implementation of business intelligence, business analytics, and performance management. The subject matter experts in Business Intelligence (BI), Business Analytics (BA) and Organisational Performance Management (OPM) were invited to participate in this empirical study, which was conducted in Malaysia. The study was carried out through interviewing experts, in order to identify the essential factors for business intelligence and data analytics implementation. Twenty essential factors and sixty-four sub-factors were identified and analyzed to construct the integrated factors in BIA and OPM implementation. The result of the study revealed four integrated factors of the BIA and OPM implementation, such as skill, documentation, visualization, and work culture. Finance, data management, software, strategic planning, and decision-making are other factors integrated with BI, BA, and OPM respectively. Finally, this study illustrates the integrated factors in a visual form.

Critical Success Factors for the Implementation of Business Intelligence Systems

This article focuses on critical success factors during the implementation of a business intelligence system. The existing literature was reviewed, and critical success factors were extracted. Subsequently, the critical success factors that occur in practice were collected through qualitative expert interviews that are analysed through a qualitative content analysis. The critical success factors found in literature are afterwards compared with those that have been collected during the expert interviews. It was found that many of the critical success factors were mentioned in the literature and in the expert interviews as well, such as a strong management support, a light-weight approach, user acceptance, the project team and data quality. In addition, the performance of the business intelligence system, the definition of standards, terminology and key performance indicators as well as an institutionalization and integration of business intelligence were mentioned in the expert interviews.