BIN

Author(s):  
Matteo Golfarelli ◽  
Federica Mandreoli ◽  
Wilma Penzo ◽  
Stefano Rizzi ◽  
Elisa Turricchia

Cooperation is seen by companies as one of the major means for increasing flexibility and innovating. Business intelligence (BI) platforms are aimed at serving individual companies, and they cannot operate over networks of companies characterized by an organizational, lexical, and semantic heterogeneity. In this chapter we propose a framework, called Business Intelligence Network (BIN), for sharing BI functionalities over complex networks of companies that are chasing mutual advantages through the sharing of strategic information. A BIN is based on a network of peers, one for each company participating in the consortium. Peers are equipped with independent BI platforms that expose some querying functionalities aimed at sharing business information for the decision-making process. After proposing an architecture for a BIN, we outline the main research issues involved in its building and operating, and we focus on the definition of an ad hoc language for expressing semantic mappings between the multidimensional schemata owned by the different peers, aimed at enabling query reformulation over the network.

Author(s):  
Fatemeh Mirzaei ◽  
Mahdi Mollamotalebi

The Vehicular Ad-hoc Network (VANET) is used in intelligent transportation systems to make communication between vehicles and make appropriate decisions with regard to road or traffic conditions. Some main research issues in VANETs are unreliability in communication, delay/precision of decision making, information overheads, and handling the nodes dynamicity. This paper aimed to provide an efficient voting method to improve the reliability of decision making for message voting. It also reduces the voting delay and network information overhead. The proposed method is simulated in NS2. The experimental results indicated that the proposed method’s decision making precision is improved between 6 % and 30 % compared to similar methods in the literature, under conditions such as traffic amount, number of nodes and operation period time. It also reduces the number of transferred packets between 1 % and 9 % in different environmental conditions.


Author(s):  
José Poças Rascão

The strategy for any organization can be set from the outside in, according to the school of positioning; according to this, the supply of products and / or services has to adapt to changes that occur in the environment. According to the movement schools of thought, a strategy can be set from the inside out in which case the organization influences the surroundings with its offer of products and / or services. Given the importance of weak signals in the definition of the strategy, the research goal is to treat the issue of pre-emptive strategy in the context of strategic decision making. An answer is provided for the following questions: (1) What is a weak signal? (2) How to tell if it is anticipative, relevant and useful for the decision makers? and (3) How to turn a weak signal in an effective anticipative clue? Based on investigator's experience in strategic consulting for small, medium and large companies, the weak and strong signals are explained and a set of criteria which are representative of their identification is presented.


2016 ◽  
Vol 12 (4) ◽  
pp. 75-98 ◽  
Author(s):  
Sandro Bimonte ◽  
Michel Schneider ◽  
Omar Boussaid

Nowadays, more and more data are available for decisional analysis and decision-making based on different indicators. Although different decision-making technologies have been developed, the authors note the lack of a conceptual framework for the definition and implementation of these indicators. In this paper, they propose a first classification of these indicators. Furthermore, motivated by the need for formalism for the definition of these indicators at a conceptual level, they present the Business Intelligence Indicators (BI2) UML profile to represent indicators for OLAP, OLTP and streaming technologies. They also present their implementation in existing industrial tools. In addition, they show how these indicators can coexist in the same environment to exchange data through a chaining model and its implementation.


Author(s):  
Martin Daniel Ackermann ◽  
John Andrew van der Poll ◽  
Huibrecht Margaretha van der Poll

Objective - Business Intelligence has little bearing with graphs and dashboards of traditionally defined Business Intelligence. Rather it is all about experience and sound judgement of the person at the helm of the decision-making process. In line with this view, we evaluate and subsequently, reposition the current definition of Business Intelligence in the literature. Methodology/Technique - The initial development of the data, information, knowledge and wisdom (DIKW) hierarchy excluded intelligence and so it never questioned the accepted definition of Business Intelligence. The extended DIKIW hierarchy includes intelligence but we raise the question about the definition of intelligence in Business Intelligence. This paper positions the existing definition of Business Intelligence as Business Information instead, and so, it redefines traditional Business Intelligence. Findings – Applying the DIKIW hierarchy, the new definition of Business Intelligence is shown in equation as the transformation of "Business Data to Business Information to Business Knowledge to Business Intelligence to Business Wisdom". Novelty - The impact of the new definition of Business Intelligence is that it changes its meaning from one that belongs to information science into one that is a human behavioural science and profiling concept. It does not do away with the existing work in literature but it redefines Business Intelligence as belonging to the realm of Business Information. Type of Paper - Review Keywords: Business Intelligence; DIKW hierarchy; DIKIW hierarchy; Knowledge Management; Wisdom. JEL Classification: L25, M10


Author(s):  
A.D.N. Sarma

Background: Requirement elicitation is the first step for any project. The available BI requirement elicitation approaches are focused more towards: the top pyramid of the management, less focus on the business aspect of an organization, historical in nature, emphasis on data mining and data warehousing aspects, no clear separation between requirements, and lack of proper linkage between the requirements.  The demand of BI shifts towards the operational front for last couple of years. The use of Operational BI is gaining more popularity among industry and business communities because of increased demand of real time BI.  It provides a powerful analysis of both operational and business information in current time for all levels of the users in the organization.Objective: In the modern business environment, the business operates on networks that demands multi-level decision-making capabilities as compared to the traditional business approaches. Operational BI is one of the business information systems that support the modern business environment and provides timely decision-making information to all the users in the organization. The requirement elicitation methodology for Operational BI system is found open for research. A new approach for requirement elicitation for an Operational BI system is presented in this paper, which highly suits to the organizations in the modern business environment.Methods: A top down technique is employed in the proposed requirements methodology that focuses on the business context of an organization. The proposed requirement elicitation approach is highly suited for the organizations that operate in the modern business environment. This approach overcomes several limitations in the existing BI requirement approaches. A case study is presented to support the proposed requirement elicitation approach for OBI system.Conclusion: This approach has several advantages like fast development, clear definition, classification of various types of requirements and proper linkage between the requirements without any loss or missing of gathering requirements. Finally, it is to conclude that the proposed approach acts as a one-pot synthesis of requirements elicitation for Operational BI system.Keywords: Business Context, Business, Intelligence, Business Networks, Protocols, Modern Business, Environment, Operational Business, Intelligence    Requirement,  Elicitation, Requirement, Methodology


For better decision making Business Intelligence is a vital process. The application of technologies and practices for integrating, collecting, analyzing, business information is known as Business Intelligence (BI). The data driven Support Systems (DSS) is a system that support Business Intelligence. Thus Business Intelligence gains a business advantage if the company uses a strong BI tool instead of making vital decisions pertaining to business on the basis of gut feeling. Generating fact-based data agenda via a robust computer system delivers confidence for any business decisions made. Business Intelligence customs administrations and programming to alter the data into substantial insight that prompts to association's key and strategic business choices. BI devices get to and examine informational collections and present discoveries in dashboards, graphs, outlines, maps and diagrams which gives the customers the details and knowledge about the condition of the business. Thus, the present study focuses on analyzing and describing the development of the various aspects of Business Intelligence and the related industries that use Business Intelligence for decision making


2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Abdul Hamid Arribathi ◽  
Maimunah Maimunah ◽  
Devi Nurfitriani

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.


2018 ◽  
Author(s):  
Camilla Kao ◽  
Russell Furr

Conveying safety information to researchers is challenging. A list of rules and best practices often is not remembered thoroughly even by individuals who want to remember everything. Researchers in science thinking according to principles: mathematical, physical, and chemical laws; biological paradigms. They use frameworks and logic, rather than memorization, to achieve the bulk of their work. Can safety be taught to researchers in a manner that matches with how they are trained to think? Is there a principle more defined than "Think safety!" that can help researchers make good decisions in situations that are complex, new, and demanding?<div><br></div><div>Effective trainings in other professions can arise from the use of a mission statement that participants internalize as a mental framework or model for future decision-making. We propose that mission statements incorporating the concept of <b>reducing uncertainty</b> could provide such a framework for learning safety. This essay briefly explains the definition of <b>uncertainty</b> in the context of health and safety, discusses the need for an individual to <b>personalize</b> a mission statement in order to internalize it, and connects the idea of <b>greater control</b> over a situation with less uncertainty with respect to safety. The principle of reducing uncertainty might also help <b>non-researchers</b> think about safety. People from all walks of life should be able to understand that more control over their situations provides more protection for them, their colleagues, and the environment.</div>


2018 ◽  
Vol 28 (5) ◽  
pp. 1489-1496
Author(s):  
Branislav Stanisavljević

Research carried out in the last few years as the example of companies belonging to the category of medium-size enterprises has shown that, for example, typical enterprises, of the total number of data processed in information of importance for its business, seriously takes into consideration and process only 10% of the observed firms. It is justifiable to ask whether these 10% of the processed and analyzed business information can have an adequate potential or motive power to direct the organization to success that is measured by competitive advantages and on a sustainable basis? Or, the question can be formulated: what happens to the rest, mostly 90% of the information that the enterprise does not transform into a form suitable for business analysis and decision-making. It is precisely the task of business intelligence to find a way to utilize all the data collected and processed in the business decision-making process. In this regard, we can conclude that Business Intelligence is, in fact, the framework title for all tools and / or applications that will enable the collection, processing, analysis, distribution to decision-making bodies in the business system in order to derivate from this information valid business decisions - as the most important and / or most important task of the manager. Of course, from an economic point of view, the best decisions are management decisions that provide a lasting competitive advantage and achieve maximum financial performance. This means that business intelligence actually allows a more complete and / or comprehensive view of the overall business performance of all its parts and subsystems. But the system functions can be measured essential and positive economic and financial performance, as well as the position in the branch of the business to which it belongs, and wider, within the national economy. (Of course, today the boundaries of the national economy have become too crowded for many companies, bearing in mind globalization and competitiveness in the light of organization of work and business function). The advantage of business intelligence as a model, if accepted at the organization level, ensures that each subsystem in the organization receives precisely the information needed to make development decisions, but also decisions regarding operational activities. So, it should be born in mind that business intelligence does not imply that information is shared on some key words, on the contrary, the goal is to look at the context of the business, or in general, and that anyone in the further decision hierarchy can manage exactly the same information that is necessary for achieving excellent business performance. Because, if the insight into the information is not complete, the analysis is based on the description of individual parts, i.e. proving partial performance in the realization of individual information, which can certainly create a space for the loss of the expensive time and energy. Illustratively, if the view, or insight into the information, is not 100%, then all business decision-making is like the song of J.J. Zmaj "Elephant", about an elephant and a blindmen, where everyone feels and act only on the base of the experienced work, and brings judgment on what is what or what can be. As in this song for children, everyone thinks that he touches different animals and when they make claims about what they feel, everyone describes a completely different life. Therefore, business intelligence implies that information is fully considered and it is basically the basis or knowledge base, and therefore the basis of business excellence. In doing so, the main problem is how information is transformed into knowledge and based on it in business decision making. It is precisely in this segment that the main advantage of business intelligence is its contribution to the knowledge and business of the company based on power of knowledge. Therefore, for modern business conditions, it is characteristic that the management of the company is realized on the basis of partial knowledge about stakeholders (buyers, suppliers, competitors, shareholders, governments, institutional framework, legislation), and only a complete overview of managers at the highest level in all these partial interest groups allows managers to have a “boat” called the organization of labor leading a safe hand through the storm, Scile and Haribde threatens to endanger business, towards a calm sea and a safe harbor - called a sustainable competitive advantage based on power and knowledge.


2009 ◽  
Vol 20 (9) ◽  
pp. 2574-2586 ◽  
Author(s):  
Yu-Xing SUN ◽  
Song-Hua HUANG ◽  
Li-Jun CHEN ◽  
Li XIE

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