A Business Intelligence Model for SMEs Based on Tacit Knowledge

This paper proposes a specific model of business intelligence in relation with SMEs practices, culture and competitive environment. This model is based on the mobilization of corporate tacit knowledge and informal information, aiming at interpreting anticipatory environmental information and assist strategic decision making. An empirical survey assessing the existing business intelligence practices in 20 French SMEs has identified seven necessary acceptance conditions of a business intelligence project as well as a managerial tool allowing tacit knowledge traceability.business intelligence; tacit knowledge; SMEs; sense-making

Cross-cultural Knowledge Management

The success of international companies in providing high quality products and outstanding services is subject, on the one hand, to the increasing dynamic of the economic environment and on the other hand to the adoption of worldwide quality standards and procedures. As market place is becoming more and more global, products and services offered worldwide by international companies must face the multi-cultural environment challenges. These challenges manifest themselves not only at customer relationship level but also deep inside companies, at employee level. Important support in facing all these challenges has been provided at cognitive level by management system models and at technological level by information cutting edge technologies Business Intelligence & Knowledge Management Business Intelligence is already delivering its promised outcomes at internal business environment and, with the explosive deployment of public data bases, expand its analytical power at national, regional and international level. Quantitative measures of economic environment, wherever available, may be captured and integrated in companies’ routine analysis. As for qualitative data, some effort is still to be done in order to integrate measures of social, political, legal, natural and technological environment in companies’ strategic analysis. An increased difficulty is found in treating cultural differences, common knowledge making the most hidden part of any foreign environment. Managing cultural knowledge is crucial to success in cultivating and maintaining long-term business relationships in multicultural environments. Knowledge Management provides the long needed technological support for cross-cultural management in the tedious task of improving knowledge sharing in multi-national companies and using knowledge effectively in international joint ventures. The paper is approaching the conceptual frameworks of knowledge management and proposes an unified model of knowledge oriented enterprise and a structural model of a global knowledge management system.Global Business, Intercultural Competencies, Business Intelligence, Multicultural Knowledge Management, Business Knowledge Frameworks, Knowledge Capital

The Business Intelligence and the Better Decisions in Management

The paper intends to present more reasons in the favour of promoting the business intelligence (BI) in the managerial practice. Business intelligence is an umbrella term that encompasses the processes, tools, and technologies required to turn data into information, and information into knowledge and plans that drive effective business activity. BI encompasses data warehousing technologies and processes on the back end, and query, reporting, analysis, and information delivery tools (that is, BI tools) and processes on the front end. Organizations need to increase their focus on decision-making. In particular, they need to think again about the relationship between information and decision-making. Business intelligence and its predecessor concepts decision support, executive information systems, have been circulating for several decades in business.business intelligence, decisions, management.

Knowledge management and business intelligence as strategic management tools to enhance performance

Abstract: The main objective of this research study was to investigate the effect of knowledge management and business intelligence on performance in the mining industry. Business intelligence is a management tool used to manage and enhance business information and to produce up-to-date intelligence and knowledge for operative and strategic decision-making. Knowledge management includes the identification and examination of available and required knowledge and the subsequent planning and control of actions to develop knowledge assets to accomplish organizational objectives..

Business Intelligence: An Innovative Technological Way to Influence Corporate Entrepreneurship

Adaptation to dynamism and complex environments in today’s Knowledge Society is key for firms to survive and improve their positions. This paper applies business intelligence (BI) to the firm to shape its organizational design and improve its performance. The paper also relates business intelligence to organizational performance management through organizational learning (OL), knowledge management (KM) and the technological competencies of the company’s employees and managers. Theoretical study of the main current research serves as the basis for the development of several propositions to fill the gaps in knowledge of business intelligence. Finally, the paper presents conclusions about application of business intelligence in firms

Data Mining to Support Engineering Design Decision

The design and maintenance of an aero-engine generates a significant amount of documentation. When designing new engines, engineers must obtain knowledge gained from maintenance of existing engines to identify possible areas of concern. Firstly, this paper investigate the use of advanced business intelligence tenchniques to solve the problem of knowledge transfer from maintenance to design of aeroengines. Based on data availability and quality, various models were deployed. An association model was used to uncover hidden trends among parts involved in maintenance events. Classification techniques comprising of various algorithms was employed to determine severity of events. Causes of high severity events that lead to major financial loss was traced with the help of summarization techniques. Secondly this paper compares and evaluates the business intelligence approach to solve the problem of knowledge transfer with solutions available from the Semantic Web. The results obtained provide a compelling need to have data mining support on RDF/OWL-based warehoused data

THE ANALYSIS ON HUMAN RESOURCES BY MEANS OF BI TYPE SOLUTIONS

Considering the demands imposed by the knowledge society, each organization strives to become an intelligent organization and, by the means of new and innovative Business Intelligence (BI) strategy, to gain a market competition advantage. The new BI era integrates information into the decision process through the means of decision services, relates business processes to business rules that may be changed at any time, and integrates BI benefits to capabilities provided by teamwork, cooperation, and business process management. In this article, I will present a BI solution, implemented through QlikView Application, thanks to which it is possible to analyze the employee expenses.business intelligence, human resource, salary analysis, reports, QlikView

Exploring the core knowledge of business intelligence

With the rapid development of data analysis, there is few research on the core knowledge of business intelligence system (BIS). In order to fill this research gap, this paper collected the 1003 articles and 31345 references from the Web of Science database, and then applied co-citation analysis and factor analysis, to analyze their core knowledge. We identified 52 highly cited articles and obtained 9 core knowledge categories in the field of BI: BI success, IT acceptance and measurement, big data analysis,dataanalysis anddecision making,business strategy, BIS,consumer behavior, knowledge management, business adoption. Research shows that BISs are still in the growing trend and core knowledge helps researchers and managers better understand the core concepts and relevance of BI, so as to quickly discover possible research directionsinthisresearchfieldandusefulapplicationsintheenterprise

Analogy of intelligence with other disciplines

Intelligence analysis has many important epistemological resemblances with science (problem solving, discovery, skillful use of tools, knowledge verification) and is more interested in a posteriori than a priori knowledge, on how or the basis on which a proposition may be known. The puzzle metaphor is used in both information and archeology. Both disciplines involve collecting evidence to build as complete a picture as possible. The process of converting raw information into actionable processed intelligence is almost identical for governmental and business organizations. The medical practice of diagnosing identification, collection, analysis and dissemination is similar to that of intelligence. DOI: 10.13140/RG.2.2.26511.1296