Señala que en un escenario de constante cambio y altamente demandante, las empresas deben considerar cuatro puntos para mejorar su competitividad: capacidad distintiva, eficiencia, tamaño y manejo de intangibles.

The purpose of this study is to provide a positioning of business intelligence in a changing environment and proving its affected aspects. Put within company’s ongoing change process. The study wishes to harmonize the acceptance of a technological change. This is pursued by highlighting (selected) factors that generate an effect on the uncertainty of an adjustment. The study is conducted as to create a low cost as possible to enable businesses to achieve goals and visions straightforward.   This study provides guidelines in how a business intelligence system acts upon ongoing change in an organization. The phenomenon of change will be covered through an in-depth investigation of a company that is in the initiation and implementation phase of a BI system. By understanding the current thoughts and discussions of the personnel - and following how these requests are answered by the investment, a further discussion will be found within organizational change theory. This research gets support from an emergent, inductive and qualitative approach when discovering concepts and key variables that exist at the analyzed company. In this study I will identify factors associated with requests. Conclusively, variables of proactivity, duality, risk management and accesibility were found to be inharmonious factors for change. This realization was made possible through inductive research as well as through prior theory. The business intelligence brings a shared knowledge pool, acting as a great mediator for a firms change process.   Most business’ have an ocean of information. Virtually every organization keeps records of their transactions, customers and products (among many). Nursing all this information and becoming conscious of the data makes the user transmorph and/or advance to a position of command. The user and/or organization with the power is the one succeeding. If a company is able to exactly understand it’s customers, they have the ability to churn the profits better. Creating an ever better change process. / Syftet med denna studie är att skapa en positionering av business intelligence i en föränderlig miljö för att påvisa dess påverkade aspekter. Studien är placerad i ett företags pågående förändringsprocess. Undersökningen syftar att harmonisera acceptansen av en teknologisk förändring. Detta genomförs genom att belysa (utvalda) faktorer som genererar en yttring kring osäkerheten av en förändring. Studien utförs för att skapa en så låg kostnad som möjligt, så att verksamheter ska kunna nå sina mål och visioner mer klanderfritt.   Denna studie ger riktlinjer för hur ett företagsintelligenssystem (BI system) agerar inom pågående förändringar i en organisation. Förändringsfenomenet kommer att undersökas genom en fördjupad analys av ett företag som befinner sig i initierings- och implementeringsfasen för ett BI-system. Genom att förstå personalens nuvarande tankar och resonemang – och att sedan följa hur dessa indikationer för utveckling besvaras av investeringen. Därav har studien möjlighet att bli placerad inom organisationsförändringsteori. Denna forskning får stöd via ett framväxande, induktivt och kvalitativt tillvägagångssätt, genom att upptäcka begrepp och nyckelfaktorer som finns i det analyserade företaget. I denna studie kommer jag att identifiera faktorer som hör samman med behov. Konklusivt visade sig variabler av proaktivitet, dualitet, riskhantering och tillgänglighet vara inharmoniska faktorer för förändring. Denna insikt blev möjlig via induktiv forskning samt genom tidigare teori. Affärsintelligensen ger en gemensam kunskapspool och utfaller vara en stor medlare för ett företags förändringsprocess.   De flesta företag har mängder av information. Praktiskt taget alla organisationer förrättar register över sina transaktioner, kunder och produkter (bland många). Skötsel av all denna information och att bli medveten om datans potential medför att användaren övergår och / eller avancerar till en position av ledning. Användaren och / eller organisationen med makten är den som lyckas. Detta i sin tur kan medföra en starkare förändringsprocess.

This thesis deals with the design of Competitive Intelligence for specific training company. The main objective of this work is to characterize and help choosing the person responsible for carrying out activities related to the CI in the company, to identify the most appropriate information sources to obtain information about the company and software tools for their monitoring. The theoretical part is drawn on the literature and is dedicated to the description of competitive intelligence and characteristics of different phases of the CI cycle. Other sections are devoted to typologies of information resources and software tools for their monitoring. Following parts are dealing with the characteristics of the category of small and medium-sized enterprises; the investigated company and education organizations fit in this category. The practical part of this thesis deals with the possible proposal of Competitive Intelligence for specific training company. As the first step we realized the analysis of the business environment and its major limitations. In the following part we deal with the CI system design, consisting of a selection of variant realization, along with the characteristics of the responsible person, the definition of information resources and recommending software tools for regular monitoring. The practical benefit of this work is to introduce CI system design, based on monitoring of information sources, obtaining information and their subsequent evaluation in relation to the competitive environment of the company. Another important asset of the work is a sample of implementation of such a system in the company of categories of small and medium-sized enterprises, which respects their limitations.

The main purpose of this thesis is to investigate the use of Big Data for the methods and procedures of Competitive Intelligence. Among the goals of the work is a toolkit for small and large businesses which is supposed to support their work with the whole process of Big Data work. Another goal is to design an effective solution of processing Big Data to gain a competitive advantage in business. The theoretical part of the work processes available scientific literature in the Czech Republic and abroad as well as describes the current state of Competitive Intelligence, and Big Data as one of its possible sources. Subsequently, the work deals with the characteristics of Big Data, the differences from working with common data, the need for a thorough preparation and Big Data applicability for the methods of Competitive Intelligence. The practical part is focused on analysis of Big Data tools available in the market with regard to the whole process from data collection to the analysis report preparation and integration of the entire solution into an automated state. The outcome of this part is the Big Data software toolkit for small and large businesses based on their budget. The final part of the work is devoted to the classification of the most promising business areas, which can benefit from the use of Big Data the most in order to gain competitive advantages and proposes the most effective solution of working with Big Data. Among other benefits of this work are expansion of the range of resources for Competitive Intelligence and in-depth analysis of possibilities of Big Data usage, designed to help professionals make use of this hitherto untapped potential to improve market position, gain new customers and strengthen the existing user base.

Os sistemas de gestão da produção nas empresas industriais produzem grandes quantidades de dados, mas de onde nem sempre é fácil retirar os indicadores necessários à tomada de decisão. A resolução deste problema é o objetivo das ferramentas de processamento analítico (Business Intelligence), que extraem a informação relevante dos sistemas operacionais e produzem os relatórios pedidos pelos gestores, mas, muitas vezes, recorrendo ao auxílio de especialistas. A necessidade de ter um departamento de TI como intermediário gera atrasos, reduzindo a capacidade de decisão da empresa, pelo que houve a necessidade de criar ferramentas de Self-Service Business Intelligence (SSBI). Estas permitem que colaboradores sem conhecimentos de TI consigam interrogar a base de dados, obtendo a informação que desejam de imediato, para além de poderem explorar mais e melhor a informação armazenada. A Critical Manufacturing (CMF), empresa onde esta dissertação foi realizada, é uma empresa de desenvolvimento de software com soluções gerais de BI e SSBI para o seu sistema de gestão de linhas de produção (MES) cmNavigo. No entanto, há muitas empresas sem disponibilidade financeira para adquirir estas soluções, pelos custos consideráveis no licenciamento e infraestrutura, mas que, mesmo assim, pretendem obter alguns dos seus benefícios. O objetivo desta dissertação é integrar no cmNavigo uma ferramenta protótipo de SSBI, que permita a não especialistas interrogar os dados e produzir dashboards através de uma interface gráfica. Para isso, selecionam-se algumas ferramentas de SSBI e de construção e visualização de dashboards e avaliam-se as suas abordagens, funcionalidades, vantagens e desvantagens, determinando-se qual o melhor caminho a tomar para o projeto. Escolhida a ferramenta, são estudadas abordagens diferentes à implementação de um modelo de dados simplificado, que permitem ao utilizador final a interação com os dados que considere mais relevantes. / The production management systems in industrial companies produce large amounts of data, but it is not always easy to take the necessary indicators for decision making. Solving this issue is the purpose of analytical processing tools (Business Intelligence), that extract relevant information from the operating systems and produce the reports requested by the managers, but frequently using the help of experts. The need to have an IT department as an intermediary generates delays, reducing the company's decision-making capacity, so there was a need to create tools of Self-Service Business Intelligence (SSBI). These allow employees without IT knowledge to interrogate the database, obtaining the information they desire immediately, in addition to being able to better explore the information stored. Critical Manufacturing (CMF), the company where this dissertation was made, is a software development company with general BI and SSBI solutions for its own production management system (MES) cmNAVIGO. However, there are many companies without the funds to purchase these solutions, due to the considerable costs in licensing and infrastructure, but nevertheless wish to obtain some of their benefits. The aim of this work is to integrate one SSBI prototype tool into cmNAVIGO, allowing non-experts to interrogate the data and produce dashboards through a graphical interface. To do this, some tools SSBI and dashboard builders were selected and evaluated on their approaches, features, advantages and disadvantages, to determine the best path for the project. With the tool chosen, different approaches to the implementation of a simplified data model were studied, allowing the end user to interact with the data he considers most relevant.

The thesis analyzes the competitive environment of CK Alexandria. The aim is to create a comprehensive framework for systematic analysis of competitive environment. The thesis uses principles of Competitive Intelligence reflecting the specifics of travel agent industry. The first part introduces travel agents in general. It is followed by a description of competitive environment of travel agents. The following capture introduces the theoretical information about Competitive Intelligence. The practical section outlines the possible usege of CI in the particular company.

<p> The U.S. electricity industry is being restructured to increase competition. Although existing policies may lead to efficient wholesale institutions, designing policies for the retail level is more complex because of intricate interactions between individuals and quasi-monopolistic institutions. It is argued that Hirshman's ideas of "exit" and "voice" (Hirshman, 1970) provide powerful abstractions for design of retail institutions. While competition is a known mechanism of "exit," a novel design of the "voice" mechanism is demonstrated through an artificial intelligence (AI) based software process model. The process model of "voice" in retail institutions is designed within the economic context of electricity distribution &mdash; a common property resource (CPR), characterized by technological uncertainty and path-dependency. First, it is argued that participant feedback (voice) has to be used effectively to manage the CPR. Further, it is noted that the decision process, of using participant feedback (voice) to incrementally manage uncertainty and path-dependencies, is non-monotonic because it requires the decision makers to often retract previously made assumptions and decisions. An AI based process model of "voice" is developed using an assumption-based truth maintenance system. The model can emulate the non-monotonic decision making process and therefore assist in decision support. Such a systematic framework is flexible, consistent, and easily reorganized as assumptions change. It can provide an effective, formal "voice" mechanism to the retail customers and improve institutional performance.</p>

This thesis focuses on the issue of social networks and its potential use as a tool to boost competitiveness. At first, in the theoretical part, basic terms and definitions, which are strongly related to the issue of social networks, are explained. Then the thesis deals with the business sectors, where social networks can be used. Furthermore, the most used representatives of worldwide social networks are characterized along with their potential use in the business. The theoretical part is completed with the chapter that describes and evaluates analytical tools which are used for monitoring and analysis of social networks. Practical part focuses on the aesthetic centre Marttinéz and its competitors in the sector of hairdressing and beauty salons. Firstly, its actual attitude to the social networks is analyzed and further analysis regarding competing salons is carried out the second analysis should reveal competitors' behaviour in the area of social networks. The main output of the practical part is a set of recommendations regarding optimization of company's sites at social networks and also suggestion on a monitoring system of social networks sites of this aesthetic centre.

Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, 2015. / Submitted by Fernanda Percia França (fernandafranca@bce.unb.br) on 2016-05-30T17:54:38Z No. of bitstreams: 1 2015_RobertoRosadaSilveiraJunior.pdf: 1996115 bytes, checksum: ea950bd17ff6dcbd0319ec2e02036ec0 (MD5) / Approved for entry into archive by Raquel Viana(raquelviana@bce.unb.br) on 2016-05-30T22:27:42Z (GMT) No. of bitstreams: 1 2015_RobertoRosadaSilveiraJunior.pdf: 1996115 bytes, checksum: ea950bd17ff6dcbd0319ec2e02036ec0 (MD5) / Made available in DSpace on 2016-05-30T22:27:42Z (GMT). No. of bitstreams: 1 2015_RobertoRosadaSilveiraJunior.pdf: 1996115 bytes, checksum: ea950bd17ff6dcbd0319ec2e02036ec0 (MD5) / Este trabalho teve por objetivo demonstrar a utilização da inteligência competitiva, da gestão de riscos e da computação aplicada para potenciais ganhos de competitividade. Desenvolveu-se em uma Instituição organizadora e aplicadora de concursos públicos, avaliações educacionais, certificações e seleções diversas. Em relação ao procedimento técnico a pesquisa ocorreu através de estudo de caso com abordagem qualitativa e quantitativa. Apresentou a utilização de algumas técnicas computacionalmente aplicadas, tais como: mineração de dados, simulações, técnicas paramétricas (análise de regressões) e técnicas não paramétricas (análise envoltória de dados) baseadas em programação linear. Abordou os benefícios da gestão de riscos com todo seu arcabouço de princípios e ferramentas. Buscou ainda fornecer subsídios, com revisões de teorias e aplicações, para o estabelecimento da utilização da computação aplicada. / This study aimed to demonstrate the use of competitive intelligence and use of risk management and computational tools for competitive benefits. It developed in a exam application organization for Public Selection Exams, educational assessments, certifications and several other selections exams. Regarding the technical procedure research occurred through case study with qualitative and quantitative approach. Introduced the use of certain techniques computationally implemented, such as data mining, simulation, parametric techniques (regression analysis) and non-parametric technique (data envelopment analysis) based on linear programming. Addressed the benefits of risk management with all its framework of principles and tools. It has also sought to provide subsidies, with revisions of theories and applications, to establish the use of computational tools.

Entrevista a Fernando D’Alessio, Director General de CENTRUM Católica.