Operational and real-time Business Intelligence

A key component of a company’s IT framework is a business intelligence (BI) system. BI enables business users to report on, analyze and optimize business operations to reduce costs and increase revenues. Organizations use BI for strategic and tactical decision making where the decision-making cycle may span a time period of several weeks (e.g., campaign management) or months (e.g., improving customer satisfaction).Competitive pressures coming from a very dynamic business environment are forcing companies to react faster to changing business conditions and customer requirements. As a result, there is now a need to use BI to help drive and optimize business operations on a daily basis, and, in some cases, even for intraday decision making. This type of BI is usually called operational business intelligence and real-time business intelligence.Operational Business Intelligence, Real Time Business Intelligence, strategic, tactical, operational, real-time.

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

Investigating the use of business, competitive and marketing intelligence as management tools in the mining industry

The main objective of this research study is to investigate the extent to which business intelligence, competitive intelligence and marketing intelligence are used within the mining industry. Business intelligence, competitive intelligence and marketing intelligence are the management tools used to mine information to produce up-to-date intelligence and knowledge for operative and strategic decision making. A structured questionnaire is used for the study. A total of 300 mines are randomly selected from a research population of mining organizations in South Africa, Africa and globally. The respondents are all part of senior management. A response rate of 64% is achieved. The results indicat that more than half of the respondents do not have real-time intelligence and proper data mining tools to identify patterns and relationships within a data warehouse. Although a large proportion agrees that their organizations have systematic ways of gathering these different types of intelligence and use them for strategic decision making, there is a significant proportion that did not have any systems. Statistically and practically significant positive relationships with a large effect are found among the dimensions of business intelligence, marketing intelligence, competitive intelligence and perceived business performanc

A Study of the Fast-Food Industry During the Russia-Ukraine Conflict

Madureira, L., Sergeenko, I., & Zaimenko, S. (2023). Competitive Intelligence and International Business Development Strategies for Multinational Enterprises in Conflict Zones: A Study of the Fast-Food Industry During the Russia-Ukraine Conflict. Journal of Intelligence Studies in Business, 13(Special Issue 1), 10-32. https://doi.org/10.37380/jisib.v13iSpecial%20Issue%201.1133 --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.This study delves into the pivotal role of Competitive Intelligence (CI) in shaping International Business Development (IBD) strategies for multinational enterprises (MNEs) operating in the fast-food industry amidst the geopolitical turbulence of the Russia-Ukraine conflict. It addresses a critical gap in existing research by examining how CI influences strategic decision-making in conflict-affected zones. The research is anchored on the premise that traditional IBD frameworks exhibit limitations when applied to unstable geopolitical contexts, necessitating a nuanced understanding of the interplay between CI and IBD in such environments. Employing a mixed-methods approach, the study integrates a comprehensive literature review with case studies and empirical data analysis. It particularly leverages the Competitive Intelligence Funnel framework to assess both external and internal business factors that influence strategic decisions. This methodology facilitates a holistic examination of the strategic manoeuvres of prominent fast-food corporations, including McDonald’s, YUM! Brands, and Subway, in response to the conflict. The findings reveal that these MNEs employed adaptive strategies in various domains such as marketing, supply chain management, corporate social responsibility, and investment decisions. Notably, the study uncovers a significant reliance on real-time geopolitical analysis and ethical considerations in strategy formulation, underscoring the limitations of conventional IBD models in conflict scenarios. Conclusively, the research posits that existing IBD frameworks require integration with real-time geopolitical insights and ethical considerations to be effective in conflict zones. This study contributes to the academic discourse by highlighting the indispensability of CI in the strategic planning of MNEs in volatile environments. It provides a novel perspective on the dynamic relationship between CI and IBD strategies, offering valuable insights for both scholars and practitioners in the realms of international business and strategic management.publishersversionpublishe

Business Intelligence & Knowledge Management - Technological Support for Strategic Management in the Knowledge Based Economy

The viability and success of modern enterprises are subject to the increasing dynamic of the economic environment, so they need to adjust rapidly their policies and strategies in order to respond to sophistication of competitors, customers and suppliers, globalization of business, international competition. Perhaps the most critical component for success of the modern enterprise is its ability to take advantage of all available information - both internal and external. Making sense of all this information, gaining value and competitive advantage through represents real challenges for the enterprise. The IT solutions designed to address these challenges have been developed in two different approaches: structured data management (Business Intelligence) and unstructured content management (Knowledge Management). Integrating Business Intelligence and Knowledge Management in new software applications designated not only to store highly structured data and exploit it in real time but also to interpret the results and communicate them to decision factors provides real technological support for Strategic Management. Integrating Business Intelligence and Knowledge Management in order to respond to the challenges the modern enterprise has to deal with represents not only a "new trend" in IT, but a necessity in the emerging knowledge based economy. These hybrid technologies are already widely known in both scientific and practice communities as Competitive Intelligence. In the end of paper,a competitive datawarehouse design is proposed, in an attempt to apply business intelligence technologies to economic environment analysis making use of romanian public data sources

Issues and Topics to Consider for Information Management Research in eMedia Industries

The digital media industry produces vast data along the content value chain. Any interaction with digital media yields data, often in real-time, both on production and consumption side. This data can be turned to immediately available business information on the operational level, e.g. editors continuously tweak their workflows upon social media feedback. This questions the traditional distinction between organization levels, changing the role of strategic management in the media business and the kind of information it is acting upon. An integration of business information and content management systems throughout the whole value chain holds great potential for future business intelligence applications in the media sector

Adoption of business intelligence - technological, individual and supply chain efficiency

Making strategic decisions in a vigorous business setting is a challenge encountered by many organizations nowadays. Today, information is gathered all over the place and is rapidly expanding. Organization required powerful application and systematic system that could run in real time, provide insightful tracking for supply chains, logistics and operations that closely related to applications for sales tracking, hourly, daily to monthly production, financial, and many other sources of business data for purposes that consist of business performance management. Business Intelligence has a critical role in terms of organizational development as Business Intelligence (BI) be able to provide a competitive advantage in the context of achieving positive information asymmetry, that is, unifying and making useful heterogeneous data. However, the impact of BI and the relative importance of its insight on business performance have not yet been investigated. For this study, data were collected from a survey questionnaire of IT managers in 162 multinational companies in Malaysia and analyzed using the partial least squares (PLS) with the SmartPLS software. This research recommends that although BI and its insight contribute to management practices, the information requirements are diverse according on the level of uncertainty versus ambiguity characteristic of the organizations practice

BUSINESS INTELLIGENCE DEVELOPMENT MODEL USING STAR SCHEMA METHODOLOGY

Nowdays, implemented the information systems that are integrated to business processes in the organization has become a primary necessity. Information systems in the organization are mostly used to assist the implementation of enterprise business process. In the generally, the systems have not been able to provide strategic information and assist management for evaluating of the enterprise’s performance. This problems occurs because the most of the information system is built using the data warehouse concept. This problem occurs also in the information system in most universities in the city of Tangerang as the study sample. The solutions for this problem is build information systems that apply the concepts and ways of working with business intelligence using star schema methodologies that can be presented as an enterprise’s performance measurement tools. Business intelligence can also be used as a basis in conducting surveillance for business intelligence can also provide: 1. early information (alert) if there are deviations between performance with a pre-determined goals, 2. Provided a report was automation (automated-feedback), 3. Memonitoring to key performance index (KPI) in real-time. The system development methodology in this reseach using the star schema. Through this approach created an information system with the concept of business intellegence with star schemas methologies that can produce information that is strategic, as needed, and as tools implement enterprise performance measurement. The end result of research is a business intelligence system with a star schema as enterprise performance measurement tools on Higher Education Raharja as a prototype implementation