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.

INTELLIGENT RISK MANAGEMENT - A NEW PRINCIPLE IN RISK MANAGEMENT BASED ON USING BI IN RM

The need for a system able to store information about the risks faced by the organization along its entire existence, the history of decisions on past risk management activities (along with an analysis of the implications of those decisions – “lessons learned”) and able to record and analyze business information from external environment and provide various patterns on the evolution of market phenomena is undeniable. Business intelligence does so. The practice of implementing a business intelligence system since the earliest days of a company’ life that would assimilate information and after that to deliver these to be used in the process of reducing the risks to which the organization is exposed may be considered a new rule of good business practice. Therefore, let us consider this practice a new principle in risk management, named the intelligent risk management.risk, BI, intelligence, approach, principle

FACETS: A cognitive business intelligence system

A cognitive decision support system called FACETS was developed and evaluated based on the situation retrieval (SR) model. The aim of FACETS is to provide decision makers cognitive decision support in ill-structured decision situations. The design and development of FACETS includes novel concepts, models, algorithms and system architecture, such as ontology and experience representation, situation awareness parsing, data warehouse query construction and guided situation presentation. The experiments showed that FACETS is able to play a significant role in supporting ill-structured decision making through developing and enriching situation awareness. © 2013 Elsevier Ltd

Design of Data Warehouse for Systém EPOS

Táto práca je vypracovaná na základe získaných skúseností a znalostí z oblasti databázových systémov a business intelligence. Výsledkom je návrh datového skladu a jeho podporných business intelligence súčastí pre systém EPOS (Elektronický pokladničný odbavovací systém).This bachelor’s thesis is elaborated according to gained experience and knowledge from thie field of databases systems and business intelligence. Its result is a data warehouse with support business intelligence parts for system EPOS (Electronic cash desk checking system).

Data Warehouse for Incompatible Versions of EPOS system

Táto práca je vypracovaná na základe získaných skúseností a znalostí z oblasti databázových systémov a business intelligence. Výsledkom je návrh datového skladu a jeho podporných business intelligence súčastí pre dve vzájomne nekompatibilné verzie systému EPOS (Elektronický pokladničný odbavovací systém).This bachelor’s thesis is elaborated according to gained experience and knowledge from thie field of databases systems and business intelligence. Its result is a data warehouse with support business intelligence parts for two incompatible versions of system EPOS (Electronic cash desk checking system).

Research on Operating Mechanism of Collaborative Commerce Based on Business Intelligence System ——An Analysis of the Application of Business Intelligence in Retail Enterprises

As a new management idea generated in the electronic commerce environment, collaborative commerce extend the range of business administration from a single enterprise to business partners. Business intelligence helps enterprises integrate data efficiently, and then turn the data into valuable information for enterprises, thus making the enterprise acquire knowledge and improve the ability of enterprise management and decision-making. The collaborative mechanism based on the business intelligence system makes the generation of information more intelligent and initiative. This paper identifies the operating mechanism of collaborative commerce based on business intelligence system, and we explore the application of business intelligence system in the retail industry

Implementation System of Business Intelligence System In The Company

This study aims to determine the stages that must be implemented in building a Business Intelligence System structured and appropriate in building Business Intelligence Systems in an organization, and understand the important aspects that must be considered for investment development Business Intelligence System is increasing. Business must be based on the conditions and needs of the organization in achieving the desired goals. If these conditions occur, then the decision-making process will be better and more accurate. The purpose of this study is to determine the important aspects that must be understood and prepared in using the Business Intelligence System in an organization. The method used is the explanation as well as the research library of several books, articles and other literature

Business Intelligence Framework for Mapping Analysis of Crafts Creative Industry Products Exports in West Java, Indonesia

This paper aims to develop a framework model of a business intelligence system for mapping exports of the creative craft industry in West Java. The main problem is the lagging of the craft industry exports due to the lack of responsiveness in capturing export opportunities. In addition, the absence of a business intelligence system in the craft industry to analyze export mapping in the global market is why this study is important. The research methods used in this literature are data collection and consolidation, identification of information needs, and business intelligence framework design. The data studied in this study are primary data related to export sales of handicrafts in West Java in the form of exporter data, export commodity data (HS code), export trade transactions, export destination country data, and the total value and volume of exports. The proposed model is a BI framework for mapping the creative craft industry exports and the stages of the BI implementation process. Based on the results and discussion, the proposed BI framework design can provide a framework for implementing a business intelligence system to analyze the export mapping of handicraft products in West Java, Indonesia. Keywords: Business Intelligence System (BIS), decision support system, mapping analysis of craft product exports, craft business indicator

Decision support systems

Decision Support Systems (DSS) are a specific class of computerized information system that supports business and organizational decision-making activities. A properly-designed DSS is an interactive software-based system intended to help decision makers compile useful information from raw data, documents, personal knowledge, and/or business models to identify and solve problems and make decisions. DSS belong to an environment with multidisciplinary foundations, including database reasearch, artificial intelligence, human computer interaction, simulation methods, software engineering and telecomunicationdecision support system, decision makers, computer-based