Дисертації з теми "Business intelligence Software"
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VENKATESH, UMA DEVI. "LITERATURE REVIEW ON BUSINESS INTELLIGENCE : BUSINESS INTELLIGENCE SOFTWARE FOR EDUCATIONAL INSTITUTIONS." Thesis, Högskolan i Halmstad, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-33523.
Повний текст джерелаKang, Jian. "Automating business intelligence recovery in software evolution." Thesis, De Montfort University, 2009. http://hdl.handle.net/2086/2414.
Повний текст джерелаSabanovic, Adis. "Business Intelligence Software Customers’ Understanding, Expectations and Needs." Thesis, Kristianstad University College, School of Health and Society, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-4707.
Повний текст джерелаModern companies operate in incredibly complex and dynamic environments. This is clearly characterized by constant changes in technology and in various market forces as well as by enormous amounts of data and information that need to be gathered and analyzed every day. Governmental regulations and ongoing competitor pressures, among other external and internal factors, are issues that managers and decision makers in a company must take into a consideration when making decisions. The need for BI systems is growing stronger and businesses in various industries demand such tools that will help them stay on the edge in order to be competitive. Hence the purpose of this paper is to find out what their companies desire when choosing a BI system to work with. What are their needs and what do they expect and understand from this technological system that will hopefully make them work easier and gain their knowledge about the business they operate in.
A web questionnaire is aimed at 67 Swedish companies from various industries and the answers have been summarized and analyzed in different cross tables for comparison reasons. Respondents from the Manufacturing industry were those with the highest response rate. A model called The PET-model of BI implementation was created, as a result of the theoretical findings, and this model is used to finalize the results and the conclusions of this paper.
Adelakun, Olawale, and Thomas Kemper. "Software-as-a-Service Business Intelligence : Adoption Criteria and Business Value." Thesis, Jönköping University, JIBS, Business Informatics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-12963.
Повний текст джерелаThe area of Business Intelligence (BI) is both broad and multifaceted and is becoming an increasingly pervasive tool utilized within organizations allowing them to gain greater insight into their business operations as well as well as the way in which their customers interact with them. By enabling businesses to perform powerful, effective analytics and reporting, BI tools allow them to maximize use of their data and facilitate better planning, forecasting and the ability to have a more targeted and efficient value chain. Usage of BI tools allow organizations to not only achieve but leverage their competitive advantage. SMEs are no different in their pursuit for competitive advantage and market share but often is the case that they lack the resources in order to make the substantial investments into the software and infrastructure required to host a solution on-premise. The Software-as-a-Service (SaaS) model of allowing users to have access to powerful tools and services without having to purchase the solutions or the infrastructure needed to host it on-premise allows SMEs an ideal opportunity to perform many or all of the functionalities that on-premise BI provides. SaaS BI is a relatively new concept only a few years old, but improvements in functionality and features, reliability of service levels and lower costs are allowing it to gain traction and it is projected to increase its momentum in the next few years. The aim of this paper is to investigate the factors that lead to adoption/non-adoption, assigned importance and perceived business value of SaaS BI within SMEs. These issues will be addressed through identification of the key decision criteria that influence SMEs to adopt SaaS BI solutions over an on-premise solution and vice versa. Greater insight into the decision making process, usage and value will be investigated with the cooperation of two vendors within the BI field. A two pronged approach targeting both SaaS and on-premise BI vendors and the users is adopted in order to find out the perspective on either end and whether or not they are incongruent. Semi-structured interviews were targeted at both an on-premise vendor and a SaaS vendor and their customers. A questionnaire was deployed to clients of both these vendors. Analysis was then conducted on the findings using an integrated selection model encompassing BI and SaaS theories and concepts outlined in the paper.
Filipčík, Zdeněk. "Nástroje Business Intelligence jako Open Source." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-150123.
Повний текст джерелаGluchowski, Peter, Marcus Hofmann, Frieder Jacobi, Robert Krawatzeck, and André Müller. "Business-Intelligence-Umfrage 2011: Softwaregestütztes Lebenszyklusmanagement und aktuelles Dokumentationsgeschehen für Business-Intelligence-Systeme." Universitätsbibliothek Chemnitz, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-75452.
Повний текст джерелаSlavětínský, Radek. "Analýza cloudových řešení Business Intelligence pro SME." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-358847.
Повний текст джерелаBashir, Yusuf. "Next generation business intelligence software, areas for growth & opportunities for innovation." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/65795.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (p. 54-55).
In today's world, as the volume of business and consumer data continues to grow at an unprecedented pace, there is increasing desire to utilize that data in new and innovative and ways to provide insight and improve decision making. For businesses, data is being generated from transactions, machine logs, digital media and feeds from sensors and wireless devices at a volume and velocity not seen before. When combined with data from external sources such as partners, or from the Internet from blogs, social networking sites, YouTube, Facebook and Twitter, it has the capability to provide organizations with new insight, a more holistic picture of customer and stakeholder behavior and new ways of gaining competitive advantage. Consumers are being presented with applications of increasing analytical sophistication, leading to growing comfort in making fact-based decisions. New devices will help monitor energy usage within the home and provide insight on the optimal times to schedule devices and run household appliances. As data volumes continue to grow, systems will need to automate the uncovering of patterns and trends in data if they are to scale. Business Intelligence (BI) software, which has traditionally been used to gain insight from data, will need to evolve and new capabilities developed to support these significant changes. Areas of growth and opportunities for new innovation within the BI software industry will be explored that will enable stakeholders to take full advantage of this new and exciting opportunity.
by Yusuf Bashir.
S.M.
Gina, Bonginkosi Phila. "Factors That Drive the Selection of Business Intelligence Tools in South African Financial Services Providers." Master's thesis, Faculty of Commerce, 2021. http://hdl.handle.net/11427/33741.
Повний текст джерелаSantos, Igor Peterson Oliveira. "Um framework de testes unitários para procedimentos de carga em ambientes de business intelligence." Universidade Federal de Sergipe, 2016. http://ri.ufs.br:8080/xmlui/handle/123456789/3390.
Повний текст джерелаBusiness Intelligence (BI) relies on Data Warehouse (DW), a historical data repository designed to support the decision making process. Despite the potential benefits of a DW, data quality issues prevent users from realizing the benefits of a BI environment and Data Analytics. Problems related to data quality can arise in any stage of the ETL (Extract, Transform and Load) process, especially in the loading phase. This thesis presents an approach to automate the selection and execution of previously identified test cases for loading procedures in BI environments and Data Analytics based on DW. To verify and validate the approach, a unit test framework was developed. The overall goal is achieve data quality improvement. The specific aim is reduce test effort and, consequently, promote test activities in DW process. The experimental evaluation was performed by two controlled experiments in the industry. The first one was carried out to investigate the adequacy of the proposed method for DW procedures development. The Second one was carried out to investigate the adequacy of the proposed method against a generic framework for DW procedures development. Both results showed that our approach clearly reduces test effort and coding errors during the testing phase in decision support environments.
A qualidade de um produto de software está diretamente relacionada com os testes empregados durante o seu desenvolvimento. Embora os processos de testes para softwares aplicativos e sistemas transacionais já apresentem um alto grau de maturidade, estes devem ser investigados para os processos de testes em um ambiente de Business Intelligence (BI) e Data Analytics. As diferenças deste ambiente em relação aos demais tipos de sistemas fazem com que os processos e ferramentas de testes existentes precisem ser ajustados a uma nova realidade. Neste contexto, grande parte das aplicações de Business Intelligence (BI) efetivas depende de um Data Warehouse (DW), um repositório histórico de dados projetado para dar suporte a processos de tomada de decisão. São as cargas de dados para o DW que merecem atenção especial relativa aos testes, por englobar procedimentos críticos em relação à qualidade. Este trabalho propõe uma abordagem de testes, baseada em um framework de testes unitários, para procedimentos de carga em um ambiente de BI e Data Analytics. O framework proposto, com base em metadados sobre as rotinas de carga, realiza a execução automática de casos de testes, por meio da geração de estados iniciais e a análise dos estados finais, bem como seleciona os casos de testes a serem aplicados. O objetivo é melhorar a qualidade dos procedimentos de carga de dados e reduzir o tempo empregado no processo de testes. A avaliação experimental foi realizada através de dois experimentos controlados executados na indústria. O primeiro avaliou a utilização de casos de testes para as rotinas de carga, comparando a efetividade do framework com uma abordagem manual. O segundo experimento efetuou uma comparação com um framework genérico e similar do mercado. Os resultados indicaram que o framework pode contribuir para o aumento da produtividade e redução dos erros de codificação durante a fase de testes em ambientes de suporte à decisão.
David, Radek. "Business Intelligence v cloudu – analýza využitelnosti v advokátní kanceláři." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-202109.
Повний текст джерелаBendák, Martin. "Implementace Business Intelligence ve firmě Haguess, a. s." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-72430.
Повний текст джерелаKans, Mirka, and Ia Williamsson. "“Must have that Business Intelligence…!” How to illustrate complex processes by interactive exercises and role playing." Linnéuniversitetet, Institutionen för teknik, TEK, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-27095.
Повний текст джерелаSilva, Neto Arlindo Rodrigues da. "GoldBI: uma solu??o de Business Intelligence como servi?o." PROGRAMA DE P?S-GRADUA??O EM ENGENHARIA DE SOFTWARE, 2016. https://repositorio.ufrn.br/jspui/handle/123456789/22304.
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Este trabalho consiste em criar uma ferramenta de BI (Business Intelligence) dispon?vel em nuvem (cloud computing) atrav?s de SaaS (Software as Service) utilizando t?cnicas de ETL (Extract, Transform, Load) e tecnologias de Big Data, com a inten??o de facilitar a extra??o descentralizada e o processamento de dados em grande quantidade. Atualmente, constata-se que ? praticamente invi?vel realizar uma an?lise consistente sem o aux?lio de um software para gera??o de relat?rios e estat?sticas. Para tais fins, a obten??o de resultados concretos com a tomada de decis?o exige estrat?gias de an?lise de dados e vari?veis consolidadas. Partindo dessa vis?o, enfatiza-se neste estudo o Business Intelligence (BI) com o objetivo de simplificar a an?lise de informa??es gerenciais e estat?sticas para propiciar indicadores atrav?s de gr?ficos ou listagens din?micas de dados gerenciais. Assim, ? poss?vel inferir que, com o crescimento exponencial dos dados torna-se cada vez mais dif?cil a obten??o de resultados de forma r?pida e consistente, tornando necess?rio atuar com novas t?cnicas e ferramentas para tratamentos de dados em larga escala. Este trabalho ? de natureza t?cnica de cria??o de um produto de Engenharia de Software, fundamentado a partir do estudo da arte da ?rea, e de um comparativo com as principais ferramentas existentes no mercado, evidenciando vantagens e desvantagens da solu??o criada.
This work is to create a BI tool (Business Intelligence) available in the cloud (cloud computing) through SaaS (Software as Service) using ETL techniques (extract, transform, load) and Big Data technologies, with the intention of facilitating decentralized extraction and data processing in large quantities. Currently, it appears that it is practically impossible conduct a consistent analysis without the aid of a software for reporting and statistics. For these purposes, the achievement of concrete results with decision making requires data analysis strategies and consolidated variable. From this view, it is emphasized in this study Business Intelligence (BI) in order to simplify the analysis of management information and statistics to provide indicators through graphs or dynamic lists of data management. Thus, it is possible to infer that with the exponential growth of data becomes increasingly difficult to obtain results quickly and consistently, making it necessary to work with new techniques and tools for large-scale data processing. This work is technical in nature to create a product of Software Engineering, based from the study of art in the area, and a comparison with the main existing tools on the market, showing advantages and disadvantages of the created solution.
2020-12-31
CALADO, JÚNIOR Ivanildo Buarque. "Sistemática multicritério para apoiar a seleção de software de business intelligence baseado no método SMARTS." Universidade Federal de Pernambuco, 2010. https://repositorio.ufpe.br/handle/123456789/5537.
Повний текст джерелаNesta dissertação foi avaliada a sistemática de escolha de ferramentas de Business Intelligence em Operadoras de Planos de Saúde na região Nordeste do Brasil. Após a avaliação da sistemática de escolha atual dessas Operadoras, foi sugerida uma nova sistemática para nortear os decisores em decisões desta natureza. A avaliação do cenário atual foi feita através de entrevistas. A sistemática proposta contou com uma pré-seleção dos fornecedores e aplicação do método SMARTS para seleção da ferramenta de BI. Uma das Operadoras foi escolhida para a aplicação da sistemática proposta e os resultados obtidos comprovaram que a utilização de uma sistemática e um método multicritério contribui para uma melhor tomada de decisão
Dinter, Barbara, and Anja Lorenz. "Social Business Intelligence: a Literature Review and Research Agenda." Universitätsbibliothek Chemnitz, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-105870.
Повний текст джерелаCosta, Juli Kelle Góis. "Uma abordagem para automatizar a manutenção do código de procedimentos de carga para ambientes de business intelligence." Universidade Federal de Sergipe, 2015. https://ri.ufs.br/handle/riufs/3377.
Повний текст джерелаGrande parte das aplicações de Business Intelligence (BI) efetivas depende de um Data Warehouse (DW), um repositório histórico de dados projetado para dar suporte a processos de tomada de decisão. Sem um DW eficiente, as organizações tendem a não extrair, em um tempo aceitável, os dados que viabilizam ações estratégicas, táticas e operacionais mais eficazes. Muitos ambientes de BI possuem um processo de Engenharia de Software particular, baseado em dados, para desenvolver programas de Extração, Transformação e Carga (ETL) de dados para o DW. Este trabalho propõe o desenvolvimento e experimentação de uma abordagem de Desenvolvimento Rápido de Aplicações (RAD) para aumentar a eficácia e a eficiência da manutenção de procedimentos de carga SQL, utilizados em processos ETL, avaliando a relação existente entre a sua utilização e a qualidade dos dados que são movidos, gerados e atualizados durante o processo de povoamento de um Data Warehouse. Este é um ambiente ímpar que necessita de maior integração e interdisciplinaridade entre as áreas de Engenharia de Software (ES) e Banco de Dados. Foi feita uma avaliação da criação e manutenção automática de procedimentos em extensões da SQL, perfazendo dois experimentos controlados feitos na indústria, para analisar a efetividade de uma ferramenta que encapsula e automatiza parte da abordagem. Os resultados indicaram que a nossa abordagem pode ser usada como método para acelerar e melhorar o desenvolvimento e manutenção de processos ETL.
Polańska, Julia, and Michał Zyznarski. "Elaboration of a method for comparison of Business Intelligence Systems which support data mining process." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2078.
Повний текст джерелаBoggan, Chad M. "US Knowledge Worker Augmentation versus Replacement with AI Software| Impact on Organizational Returns, Innovation, and Resistance." Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10979025.
Повний текст джерелаThis praxis studies the effects on organizations of replacing US knowledge workers with artificial intelligence software (automation) and enhancing US knowledge workers with artificial intelligence software (augmentation). The effects on organizational innovation, resistance, and return on investment (ROI) are studied.
The main purpose of this study is to confirm the relationships between automation/augmentation, innovation, resistance, and ROI. This study is also meant to aid researchers, policy makers, executives, and others that have influence over automation and augmentation decisions. The implications of these decisions will reverberate through the multi-billion-dollar US job market in the coming years.
Quantitative methods were used to look at researched examples of both automation and augmentation. Data from 1993 to 2018 was gathered and assessed on innovation, resistance, and ROI from a number of different industries and a number of different types of firms based on size and ownership structure (public or private). Statistical methods were then used to compare the effects of automation and augmentation on organizations.
Research data was gathered to study the relationship between innovation and ROI, as well as the relationship between resistance and ROI. These relationships were used to combine ROI, innovation, and resistance using Monte Carlo simulations. This combination of ROI, innovation, and resistance was then used to compare the combined effects of automation and augmentation on organizations over time.
Dinter, Barbara, and Anja Lorenz. "Social Business Intelligence: a Literature Review and Research Agenda." Association for Information Systems (AIS), 2012. https://monarch.qucosa.de/id/qucosa%3A19841.
Повний текст джерелаNejtek, Petr. "Competitive Intelligence HF Czechforge." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-149912.
Повний текст джерелаKrsová, Kateřina. "Software pro vizualizaci dat na platformě Microsoft v porovnání s vybraným open source produktem." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-194708.
Повний текст джерелаRios, Fábio Luiz de Carvalho. "Uma proposta de requisitos para um software de apoio ao processo de inteligência." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2010. http://hdl.handle.net/10183/27959.
Повний текст джерелаThe industrial revolution may be viewed as the spark that triggered the escalating of competition among companies. Ever since the advent of mass production and the ensuing manufacturing of similar, if not, exactly the same products, by different manufacturers has lead to the increasing need to monitor the activities of competitors, customer‟s needs, and other matters related, in one way or another, to the competitive environment. The early 2000‟s witnessed the birth of innumerable models, later denominated intelligence methodologies, that target the monitoring of a company‟s external environment. Parallel to this, the growth of the Internet lead to greater amounts of information capable of providing deeper understanding of the state and events occurring in the competitive environments in which a company acts as a player Thus, given the diversity of intelligence methodologies and the availability of vast amounts information that can be used to track the competitive environment, it is impelling to assume that an adequate software technology could be of significant help in such a scenario. However, what functionalities or features should a software technology have to effectively support a competitive intelligence effort? This and other questions are dealt and are the object of this study. Through extensive bibliographic research in the area of business administration, and in-depth interviews of four experts and five acting professionals in intelligence, it was possible to identify key technology features and, as result of this study, present a proposal for a functional requirements check-list for a software capable of supporting such an important process carried out presently in major Brazilian organizations.
van, Blerk Willem Eben. "The role of emotional intelligence in implementing information technology strategies." Thesis, Cape Peninsula University of Technology, 2013. http://hdl.handle.net/20.500.11838/1411.
Повний текст джерелаThe alignment between business and information technology (IT) strategies has been a challenge for many years. Strategic alignment models and enterprise architecture methodologies and frameworks have been developed to assist business and IT managers with improving alignment between business and IT strategies. The business analyst, systems analyst and project manager are key role players in delivering the information systems (IS) needs of business and therefore key in aligning business and IT strategies. Despite literature and research suggesting a positive influence of emotional intelligence on occupational performance in various industries, the development of emotional intelligence of the business analyst, systems analyst and project manager is neglected by software development organisations. Emotional intelligence is neglected in industry IS competency models as well as documented standards for the business analysis and project management profession (BABOK and PMBOK). Emotional intelligence is not addressed in strategic alignment models and enterprise architecture methodologies and frameworks. Emotional intelligence is equally neglected in IS literature. Systematic research investigating the impact of emotional intelligence on occupational performance of IT professionals remains sparse. The purpose of this study was to determine which emotional intelligence competencies are needed to improve the occupational performance of business analysts, systems analysts and project managers in delivering business information system needs. The study took the form of a multiple interpretive case study. Qualitative data was collected using semi-structured interviews with stakeholders from 20 software development organisations utilising the roles of the business analyst, systems analyst and project manager. Quantitative data was collected using the Genos Emotional Intelligence Inventory with the aim of identifying the patterns of emotional intelligence visible in the sample of business analysts, systems analysts and project managers assessed. The study suggests emotional intelligence has a role to play in alignment between business and IT strategies. It is proposed that industry IS competency models as well as the standards for the business analysis and project management profession as documented in BABOK and PMBOK include specific emotional intelligence competencies. The study also proposes that higher education institutions in IT/IS such as universities of technology, as well as training providers focusing on business analysis, systems analysis and project management, should focus not only on technical skills but emotional intelligence skills as well when developing the supply pipeline of business analysts, systems analysts and project managers. Keywords: Emotional intelligence, business – IT alignment, information technology, enterprise architecture, business analyst, systems analyst, project manager, competencies, non-technical skills.
Souza, Daniel da Cunha Rodrigues de. "Uma arquitetura de referência para o processamento distribuído de stream de dados em soluções analíticas de near real-time." reponame:Repositório Institucional da UnB, 2015. http://dx.doi.org/10.26512/2015.05.D.20422.
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Os novos requisitos para o processamento em baixa latência de streams de dados distribuídos desafiam as arquiteturas tradicionais de processamento de dados. Uma nova classe de sistemas denominados Distributed Stream Processing Systems (DSPS) emergiram para facilitar a analise desses dados em baixa latência. Entretanto, a diversidade de arquiteturas, modelos de processamento e Application Programming Interfaces (APIs) nesses DSPSs aumentaram a complexidade no processo de desenvolvimento de sistemas para o processamento de dados. Nesse contexto, este trabalho propõe uma arquitetura de referência para o processamento de streams para soluções analíticas de near real-time. Essa arquitetura tem como base conceitos arquiteturais que estabelecem uma separação em camadas com responsabilidades bem definidas, resultando em um modelo de referência que promove o reuso de decissões de projeto e suporta a gestão da complexidade no desenvolvimento de sistemas de processamento de stream de dados. Para validar a solução proposta, essa arquitetura de referência é instanciada em um experimento que aborda o uso de dois algoritmos algorítimos probabílisticos: HyperLogLog e Count-Min Sketch.
The current requirement of low latency processing for high volume of data streams is pushing the limits of the traditional data processing architectures. A new class of applications called Distributed Stream Processing Systems (DSPS) has emerged to facilitate such large scale real time data analytics. Nevertheless the diversity of architectures, data models and APIs introduced by the use of these systems resulted in a greater complexity to the development of data processing systems. In this context, a reference architecture to data stream processing for near real-time analytics is proposed in this work. This proposal is based on a layered architecture pattern, with clearly defined responsibilities providing a strong reference model, to improve the maintainability and reuse for data stream processing systems. In order to evaluate the proposed architecture and its framework, a case study is used in which two probabilistic algorithms are applied: the HyperLogLog and the Count-Min Sketch.
Freire, Elizabeth Maria. "Um olhar sociotécnico para a construção de artefato informacional: a trajetória da construção de sistema de Business Intelligence." Niterói, 2017. https://app.uff.br/riuff/handle/1/2809.
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A construção de artefatos tecnológicos, em particular a construção de software, onde podem ser incluídos os sistemas de Business Intelligence, é predominantemente conduzida como sendo uma atividade “puramente” técnica. Se adotada esta linha de condução, aos profissionais da área da computação “cabem cuidar da parte „técnica‟ do artefato tecnológico”, sendo as demais, ou seja, as “não-técnicas” desconsideradas ou relegadas a um segundo plano. No entanto, percebe-se na prática que a construção desses artefatos se realiza em um fundo heterogêneo, onde temos posições de poder individuais e institucionais, ideologias, políticas, contextos tecnológicos e regulatórios, entre outros que permitem ou restringem a construção destes artefatos. À luz das ideias, principalmente, de Bruno Latour, este trabalho busca, tomando a abordagem metodológica da Teoria Ator-Rede, trazer visibilidade para as inúmeras associações entre diversos e heterogêneos elementos (humanos e não humanos) que se configuram, provisoriamente, em função dos variados interesses dos envolvidos que se encontram em cena, em certo lugar e tempo, durante a construção do artefato tecnológico. Também busca aplicar a noção de regime de informação pela identificação de alguns elementos do regime de informação local a partir do rastreamento da rede sociotécnica na qual o artefato estudado se insere.
The construction of technological artifacts, in particular the construction of software which is included Business Intelligence systems, is predominantly conducted as an activity " purely " technical . If adopted this line of conduct , the professionals in the computing " fit to take care of the ' technical ' technological artifact" , and the others , ie , the "non - technical " disregarded or relegated to the background . However, in practice it is noticed that the construction of these devices takes place in a heterogeneous background, where we have positions of individual and institutional power, ideologies , political , technological and regulatory contexts , among others that allow or restrict the construction of these artifacts . In light of the ideas, especially Bruno Latour, this job search, taking the methodological approach of Actor-Network Theory , bring visibility to the numerous associations between diverse and heterogeneous elements ( human and nonhuman ) that configure provisionally due the varied interests that are involved in the scene , in the right place and time, during the construction of technological artifact. Also seeks to apply the concept of regime of information for identifying some elements of the local regime of information from the tracking of sociotechnical network in which the artifact studied is inserted.
Lepore, Antonia. "Studio e Reingegnerizzazione di un sistema di Data Warehouse." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/12972/.
Повний текст джерелаJohari, Shirazi Iman. "Combining Business Intelligence, Indicators, and the User Requirements Notation for Performance Monitoring." Thesis, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23540.
Повний текст джерелаAl-Majali, Faris. "An investigation of the integration of business intelligence tools with the roles of performance management of wholesale SMEs in the UK : to enhance decision making that maintains/improves operational performance." Thesis, University of Huddersfield, 2013. http://eprints.hud.ac.uk/id/eprint/19752/.
Повний текст джерелаRhodin, Daniel. "Automatic generation of production reports using SharePoint." Thesis, Mittuniversitetet, Avdelningen för data- och systemvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-33260.
Повний текст джерелаMulder, Susan. "An action research study on the use of Scrum to provide agility in data warehouse development." Diss., University of Pretoria, 2010. http://hdl.handle.net/2263/24561.
Повний текст джерелаDissertation (MCom)--University of Pretoria, 2010.
Informatics
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Lipkin, Ilya. "Testing Software Development Project Productivity Model." University of Toledo / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1321593577.
Повний текст джерелаAlhiane, Rachid. "Les licences libres et open source : outil stratégique de création et de captation de valeur pour les éditeurs open source : vers un dispositif de veille sur les business models viables." Thesis, Aix-Marseille 3, 2011. http://www.theses.fr/2011AIX32056.
Повний текст джерелаThis thesis presents a feedback on the competitive intelligence device set up in Marseille Innovation to allow open source software editors housed in its business incubator, to effectively monitor their environment in order to detect new opportunities for development. This project is part of a comprehensive approach, led by Marseille Innovation and its partners to structure a network of open source companies in the PACA area (south of France).First, we achieved a state of the art of open source literature emphasizing the paradox posed by the open source model for software editors who choose to use free software licenses : the adoption of an open source model by some editors for their software allows a value creation that could be greater than that generated through traditional proprietary models, but this advantage is offset by a dangerous uncertainty as to the value capture, could be recovered by competitors who have yet made no programming effort to and not having incurred costs. Subsequently, we presented the birth of free software as the result of changes in the computer industry that marked the early '70s, changes which caused the passage of free software from non commercial/public sphere to commercial/private sphere. In response, defenders of free software have invented an original system of "public licenses" to protect these software’s against any technical or legal interlocking of their use, their distribution and their modification. However, if these public licenses allow to promote a value creation, through the cooperation of a community of programmers and software distribution, the randomness of remuneration in the open source model has led software editors to seek and invent new "Business Models" more or less random, to better ensure their income.Based on knowledge accumulated on the open source model, we have subsequently explained the approach initiated by Marseille Innovation, in collaboration with Marseille-Provence Chamber of Commerce and Industry (CCI) and Libertis, to structure a network of open source companies in the PACA area. This approach led to the launch of several projects of mutual interest, including one on the setting-up of a monitoring device to monitor open source software industry.The approach adopted to setting-up this monitoring device consists in a first step to establish a state of the art of different theoretical approaches and practices identified in the information and communication sciences’ literature. Then, a pragmatic approach of monitoring has been chosen. Organizational means, processual and technical have been studied to set up this monitoring device. Raising awareness actions to competitive intelligence were also conducted with members of the network and open source startups coached by Marseille Innovation, through which information needs are identified and information products are developed to enable members of open source network to effectively monitor their environment. Bibliometric studies are also made to meet the expectations of open source companies on how to create and capture value in the open source software model, about promising market segments, software licenses and business models that result
Košata, Václav. "Srovnání řešení BI na bázi SaaS." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-114272.
Повний текст джерелаBastos, Filho Othon de Carvalho. "MODELAGEM DO USUÁRIO PARA O SISTEMA ICS DE COMÉRCIO ELETRÔNICO." Universidade Federal do Maranhão, 2003. http://tedebc.ufma.br:8080/jspui/handle/tede/327.
Повний текст джерелаThe Electronic Commerce (E-commerce) grew very in recent years. This type of Commerce, call also digital or virtual commerce, is characterized for the increasing capacity of supply, global competition, increasing, with this, the expectations of the consumers, thus causing, one high competition between the companies, who very change of fast form the businesses and the way to operate. Being that, it can be perceived that the companies who will not be ready for the changes, in a short period had been it stops backwards in the world of the businesses. The Electronic Commerce allows that such changes can be supported in one it scales global, making possible a bigger efficiency and flexibility, this occurs by means of the agility in taking care of to the necessities and expectations of the customers. For this new paradigm, it currently starts if to legalize the business-oriented call Intelligence (Business Intelligence), whose purpose is to manage the knowledge in the age of the global competition and the communications on-line.
O Comércio Eletrônico (E-commerce) cresceu muito nos últimos anos. Esse tipo de Comércio, chamado também comércio digital ou virtual, caracteriza-se pela crescente capacidade de fornecimento, competição global, aumentando, com isso, as expectativas dos consumidores, causando assim, uma alta concorrência entre as empresas, que mudam de forma muito rápida os negócios e o modo de operar. Sendo que, pode-se perceber que as empresas que não estiverem prontas para as mudanças, em um curto período ficaram para trás no mundo dos negócios. O Comércio Eletrônico permite que tais mudanças possam ser suportadas em uma escala global, possibilitando uma maior eficiência e flexibilidade, isto ocorre por meio da agilidade em atender às necessidades e expectativas dos clientes. Para este novo paradigma, começa atualmente a se formalizar a chamada Inteligência de Negócios (Business Intelligence), cuja finalidade é gerenciar os conhecimentos na era da competição global e das comunicações on-line.
Johansson, Johan. "The Role of Big Data Facilitators in the Business Ecosystem : Drivers, Barriers and Value offered." Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-69589.
Повний текст джерелаMolin, Patrik, and Martin Löfberg. "Web vs. Standalone Application." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1738.
Повний текст джерелаAlaofin, Babatunde Ayodele. "The Value of Diagnostic Software and Doctors' Decision Making." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/344.
Повний текст джерелаPitka, Lukáš. "Podpora rozhodování pomocí podnikových informačních systémů společnosti Exact Software." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-10486.
Повний текст джерелаLundgren, Thomas. "Kartläggning av systemanvändning genom Application Performance Monitoring." Thesis, Högskolan i Gävle, Datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-32652.
Повний текст джерелаThe use of Application Performance Monitoring (APM) for collecting data about performance and end-user behaviors in complex software systems is increasing. APM is used to ensure availability and robustness and to enhance end-user experiences. This study aims to investigate how the adoption of APM can be done, what challenges organizations face during the implementation as well as costs and performance overhead associated with APM. This is achieved through a case study in which APM is introduced into the Enterprise Resource Planning (ERP) system MONITOR G5, developed and maintained by the Swedish software company Monitor ERP System AB. The system is developed in Microsoft’s .NET Framework and the APM service used is Microsoft’s Application Insights. The study resulted in a proposed APM solution wherein data regarding user interactions, performance and errors are collected and visualized. Six dashboards were created, showing different aspects of the collected data, for instance: which parts of the system is most and least frequently used, errors, load times and performance metrics such as processor and memory usage. The cost analysis shows that monetary costs can be very high, but strategies for suppressing costs are proposed. The performance tests that were conducted to determine the performance overhead of APM are inconclusive, but it is likely that the performance penalty of using APM is small.
Jíra, Martin. "Business intelligence: Požadavky na výběr softwaru a jeho přínosy." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-198247.
Повний текст джерелаZduba, Andreas. "Tvorba datového skladu a reportovacích služeb." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-254248.
Повний текст джерелаKapetanakis, Stylianos. "Intelligent monitoring of business processes using case-based reasoning." Thesis, University of Greenwich, 2012. http://gala.gre.ac.uk/9809/.
Повний текст джерелаBaarah, Aladdin. "An Application Framework for Monitoring Care Processes." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/30329.
Повний текст джерелаJakubičková, Nela. "Návrh metodiky testování BI řešení." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-114404.
Повний текст джерелаJeronimo, Louremir Reinaldo. "Os fatores de influência na decisão de escolha entre softwares de business intelligence." reponame:Repositório Institucional do FGV, 2011. http://hdl.handle.net/10438/8494.
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The current economic scenario leads companies towards more and more dynamic performances by using all information available to enhance their decision processes. In order to achieve such target, many organizations have acquired business intelligence systems. The process of selecting this kind of system is difficult and different from the one used for other business acquisitions. Furthermore, it is influenced by intangible factors, which renders the application of the usual financial analysis techniques to support investment decisions impossible. It can then be said that the choice of business intelligence software is based on a set of factors, both tangible and intangible. This study aims mainly at identifying and establishing a ranking of the principal factors that influence the decision of choosing among business intelligence systems, and focused companies in the real estate development business operating in the Great São Paulo area. It also tries to identify – among the list of factors raised – the possible existence of aspects that determine the choice decision. The search was carried out by interviewing 12 people who have participated in any processes of choice of business intelligence system decision. Some of the interviewees work in IT, whereas others are in the business areas of seven real estate development companies operating in the Great São Paulo area. The evaluation of the research resulted in the identification of the most important factors and their hierarchical classification, enabling the establishment of a statistically valid ranking according to the Kendal’s coefficient of concordance, showing the 14 most influent factors in the choice decision. From that total, only 3 could be classified as determining or non-determining; the remainder did not provide answer patterns statistically valid for conclusions. After analysing the selection process followed by the 7 companies in the present research, two phases influenced by distinct factors were detected. Later, studying those phases together with the identified factors in the ranking, it was possible to propose a selection process aiming at a possible reduction of time and costs for the achievement of such activity. The theoretical contribution of this study is to complement the researches that identify the factors that influence the process of systems choice decision, specifically business intelligence ones, as it establishes a ranking of importance for the items identified, and also the relationship among important factors and specific phases in the process of selection herein identified.
O cenário empresarial atual leva as empresas a terem atuações cada vez mais dinâmicas, buscando utilizar as informações disponíveis de modo a melhorar seu processo de decisão. Com esse objetivo, diversas organizações têm adquirido sistemas de business intelligence. O processo de seleção de sistemas é difícil, diferente do utilizado em outras aquisições empresariais e sofre influência de diversos aspectos intangíveis, o que impossibilita o uso das técnicas de análise financeira normalmente utilizadas pelas companhias para apoiar decisões de investimento. Dessa forma, pode-se dizer que a decisão de escolha de um software de business intelligence é baseada em um conjunto de fatores tanto tangíveis quanto intangíveis. Este trabalho teve como objetivo principal identificar e estabelecer um ranking dos principais fatores que influenciam a decisão de escolha entre sistemas de business intelligence, tendo como foco empresas do setor de incorporação imobiliária atuantes na grande São Paulo e como objetivo secundário procurar identificar a possível existência de aspectos determinantes para a decisão de escolha entre a lista de fatores apurados. Essa pesquisa foi realizada através de doze entrevistas com pessoas que participaram de processos de decisão de escolha de sistemas de business intelligence, sendo algumas da área de TI e outras de área de negócio, atuantes em sete empresas incorporadoras da grande São Paulo. Essa avaliação teve como resultado a identificação dos fatores mais importantes e a sua classificação hierárquica, possibilitando a apuração de um ranking composto pelos catorze fatores mais influentes na decisão de escolha e statisticamente válido segundo o coeficiente de concordância de Kendall. Desse total, apenas três puderam ser classificados como determinantes ou não determinantes; o restante não apresentou padrões de resposta estatisticamente válidos para permitir conclusões sobre esse aspecto. Por fim, após a análise dos processos de seleção utilizados pelas sete empresas dessa pesquisa, foram observadas duas fases, as quais sofrem influência de distintos fatores. Posteriormente, estudando-se essas fases em conjunto com os fatores identificados no ranking, pôde-se propor um processo de seleção visando uma possível redução de tempo e custo para a realização dessa atividade. A contribuição teórica deste trabalho está no fato de complementar as pesquisas que identificam os fatores de influência no processo de decisão de escolha de sistemas, mais especificamente de business intelligence, ao estabelecer um ranking de importância para os itens identificados e também o relacionamento de fatores de importância a fases específicas do processo de seleção identificadas neste trabalho.
Figueiredo, Karen Patrícia Reis. "O uso de tecnologias da inteligência para a gestão da demanda de produtos no ciberespaço: estudo de caso "Captare"." Pontifícia Universidade Católica de São Paulo, 2009. https://tede2.pucsp.br/handle/handle/18238.
Повний текст джерелаThe thesis entitled "The Use of Technologies of Intelligence on Demand Management of Cyberspace Products: Case Study 'Captare'", of the Master in Technologies of Intelligence and Digital Design - TIDD, focuses on how the industrial segments can come to know and understand, in a more effective way, the behavior of demand in retail. It was analyzed how intelligence softwares with a cognitive basis can collect, process, classify and interpret data generated from business to business transactions B2B. As a main informational means to be examined, within the case methodological line, it proposes the Captare Software used by industrial segments through an eMarketplace (Genexis.com). Captare is a information product (e-Business solution) supported by technology of algorithm intelligence in cyberspace with cognitive representation pattern. Its conception is based on the hybrid convergence of the multidisciplinarity of statistics, data mining, marketing, trade marketing, technology of information and hypermap, promoting interactive communication strategies of the triad "man", "interface" and "computer", turning it into a set to make the objectives happen, such as action, reaction, service or information
A dissertação intitulada O uso de tecnologias da inteligência para a gestão da demanda de produtos no ciberespaço: estudo de caso Captare do Mestrado em Tecnologias da Inteligência e Design Digital (TIDD) tem como tema central a investigação de como os segmentos industriais podem vir a conhecer e compreender de forma mais eficaz o comportamento da demanda no varejo. Tal processo será levado pela análise de como os softwares de inteligência com base cognitiva coletam, processam, classificam e interpretam os dados gerados a partir de transações business-to-business (B2B). O estudo propõe, como veículo informacional principal a ser investigado, dentro da linha metodológica do case, o software Captare, utilizado pelos segmentos industriais por meio de um eMarketplace (portal de negócios Genexis.com). O Captare constitui-se em um produto de informação (solução de eBusiness) suportado por tecnologia de inteligência algorítma em um ciberespaço, cuja essência centra-se em modelos de representações cognitivas. Sua concepção parte da convergência híbrida da multidisciplinaridade da estatística, datamining, marketing, trademarketing, tecnologia da informação e do hipermapa, possibilitando estratégias de comunicação interativa entre a tríade homem", "interface" e "computador" , formando um conjunto para fazer acontecer o fenômeno da comunicação a fim de alcançar objetivos, sejam esses uma ação, reação, serviço ou informação
Dražil, Michal. "Datová kvalita, integrita a konsolidace dat v BI." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-11986.
Повний текст джерелаRajagopal, A. "IMAGINE : An Intelligent Electonic Marketplace." Thesis, Indian Institute of Science, 2001. http://hdl.handle.net/2005/254.
Повний текст джерелаFang, Fang. "A life-cycle-oriented negotiation framework for supply chain management : an agent-based approach with hybrid learning /." View the Table of Contents & Abstract, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38289659.
Повний текст джерела