Changes and challenges that have occurred in the past two decades have forced a radical shift in the basic foundations of how business is conducted. Internal, as well as external forces have forced organisations to constantly monitor their surrounding environment in order to create an awareness of opportunities and threats to allow them to survive in their competitive environment. Organisations need to gather all the information at their disposal, and turn the raw data into intelligence through a process of analysis and an exercise of human judgement. By utilising the potential offered by information systems in the process of generating intelligence and creating a corporate knowledge base to be used in strategic decision-making will lead to competitive advantage and constant innovation. Strategic Intelligence has information as its foundation. This research proposes that through its ability to absorb sources of information, the synergy of Business Intelligence, Competitive Intelligence, and Knowledge Management combined to form Strategic Intelligence, will allow organisations to incorporate all of their information and intellectual capital into a single database or system which will meet the intelligence requirements of management. The purpose of this study is to identify the current use of Strategic Intelligence in the Long-term Insurance Industry in the South African environment, and through the use of a survey questioned the benefits or problems experienced by executive management who have not yet implemented and used Strategic Intelligence as an input to the Strategic Management process, and identified the perceived value Strategic Intelligence could add in the decision-making process. The research study shows that organisations have not yet fully embraced a model for a cooperative global internal corporate Strategic Intelligence System or Portal that will incorporate all aspects of Strategic Intelligence into a single, easily manageable resource for management’s strategic planning and decision-making process, even though it could enhance their ability to withstand the onslaught of global competitors and expand their business into new markets, protect their local market or identify potential merger or acquisition targets, and increase innovation within the organisations. / Business Management / M. Com. (Business Management

Thesis is focused on management of business informatics. The aim of this thesis is to develop Reference management model for managing business informatics and to integrate this reference model into ITGPM Reference management model for managing business informatics. Within an analytical part is reviewed current situation in the field of managing economics of business informatics as well as managing economics out of business informatics. Attention is paid to costs in busi-ness informatics, their classification, categorisation and their management. Very important part is analysis of methods for cost management thought various types of calculations and especially thought ABC methods. The principles of these methods are applied in the design of the Reference model. Further are solved questions of business informatics effect, their categorisations, classification, definition of their attributes and also their management. Development of this field is an important part of this thesis. The main part of the thesis contains the Business informatics management Reference model design. This design contains identification of the most important metrics of measuring business informatics, dimen-sions used for analysis of proposed metrics and relationships between metrics and dimensions. An impor-tant part is also a presentation level design and definition of condition that should be fulfilled, if the pres-entation level should be beneficial to final users. The main part also contains designed method for imple-mentation of the Reference model into a company. Application parts are devoted to preparation of a pilot application based on the Reference model design developed in the main part of the thesis. Designed Reference model for managing business informatics is adapted according to the needs, requests and characteristics of the company in which this pilot application is implemented. In these parts are also verified designs, processes and methods designed in the first and second part of this thesis, so there are verified possibilities of adaption of the designed model to the requests of the target company, adaption of the pilot application to the target environment including data level, ELT procedures and presentation level. In application part of the thesis is verified correctness of the designed implantation methodology into the company.

Neste final de século o processo de globalização dos mercados e seu efeito sobre os padrões de conduta econômica, política, social e organizacional, vêm assumindo importância crescente, compondo um cenário no qual a competitividade emerge como uma questão imperativa. Como característica das empresas modernas, tem-se o aumento de padrão de automação onde as tecnologias tem disponibilizado o acesso a uma grande quantidade de dados. Tecnologias de data warehouse (DW) têm servido como repositores desses dados e o avanço nas aplicações de extração, transformação e carregamento (ETL) têm aumentado a velocidade da coleta. Atualmente, muito se tem discutido a respeito desse produto secundário resultante dos processos empresariais, os dados, que tem sido vistos como uma potencial fonte de informação capaz de possibilitar às instituições a garantia de sobrevivência em sua indústria. Nesse contexto, os sistemas de Business Intelligence (SBI), que têm como função prover o tratamento dos dados e entregar informação acionável que pode ser usada para uma específica tomada de decisão, têm recebido o reconhecimento de sua importância por parte dos executivos para a continuidade de suas empresas. Fato esse reforçado pelos resultados de pesquisas realizadas mundialmente pelo Gartner onde por anos seguidos os SBI têm sido relatados pelos executivos como o sonho de consumo das empresas. Aplicações de business intelligence têm dominado a lista de prioridade de tecnologia de muitos CIOs. Apesar desse cenário bastante favorável para os SBI, o Gartner Group aponta um elevado índice na subutilização desses sistemas, o que nos leva a questionar porque um sistema importante e desejado pelas empresas não consegue atender as expectativas dos usuários. Assim surgiu a proposta de estudar nesse trabalho a influência das dimensões fatores críticos de sucesso (FCS) e benefícios esperados (BE) sobre a dimensão intenção de uso (USO) da informação disponibilizada pelos SBI, verificando o efeito das variáveis de cada dimensão sobre o USO. Para isso foi estabelecido um modelo conceitual relacionando as dimensões mencionadas utilizando-se como referência outros trabalhos acadêmicos, suas variáveis e resultados de pesquisa. Foi realizada uma pesquisa quantitativa com a aplicação da técnica estatística Partial Least Square (PLS) com os dados obtidos de usuários de SBI em diferentes áreas da empresa de diferentes setores. Com o uso da técnica PLS, foi possível obter os indicadores para as variáveis das dimensões e estabelecer o modelo estrutural baseado em confiança. / As this century ends, the market globalization process and its effect on patterns of economic, political, social and organizational behaviors become increasingly important, composing a scenario in which competitiveness emerges as an imperative issue. As a trait of modern enterprises, there is an increase in automation standards where technologies provide access to a large amount of data. Technologies of data warehouse (DW) have been serving as repositories of such data and advances in extraction, transformation and loading (ETL) applications have been increasing the speed of data collection. More recently, much has been discussed about this secondary product resulting from business processing: the data that has been seen as a potential source of information able to allow institutions guarantee survival in their industry. In this context, Business Intelligence Systems (BIS), that have as function provide data processing and deliver actionable information, i.e., information that could be used for a specific decision making, have received recognition from executives of its importance to the continuity of their business since for years, has been reported in research conducted worldwide by Gartner as the technology desire of these professionals. Business Intelligence applications have been considered the technology priority investment of many CIOs. Despite of this favorable scenario for Business Intelligence Systems, the Gartner Group indicates a high level of underutilization of these systems which leads us to question why an important and desired business system cannot achieve user\'s expectations. Thus, this work proposes to study the influence of the dimensions critical success factors (CSF) and expected benefits (BE) on the dimension use (USO) to the information provided by BIS, checking the effect of each dimension on the USO emerged. To do this a conceptual model was established by relating these dimensions using as reference other academic papers, their variables and search results. It was realized a quantitative research with an application of statistical technique Partial Least Square (PLS) with data obtained from users of BIS in different areas of the company from different sectors. Using the PLS technique, it was possible to obtain indicators for the variables and dimensions to establish the structural model based on trust.

Assim como outros investimentos em tecnologia da informação, os sistemas de Business Intelligence (BI) também têm sido questionados em relação aos benefícios e retornos obtidos depois de sua implantação. Isso porque o produto de BI é inteligência, ou, em outras palavras, algum tipo de informação processada, e o valor da informação é difícil de avaliar. A presente pesquisa pretende contribuir ao estudo desse problema de pesquisa, abordando o tema da avaliação dos sistemas de BI por meio do modelo de sucesso de sistemas de informação proposto por DeLone e McLean. Além das dimensões tradicionais inter-relacionadas do modelo: capacidade de BI, qualidade da informação, satisfação dos usuários e nível de uso, foi incluída a variável a abordagem de decisão, pois um dos principais objetivos dos sistemas de BI é processar dados advindos de diferentes fontes, para produzir informação que sirva como suporte para a tomada de decisão. Uma vez que a capacidade de BI e a qualidade da informação são constructos multidimensionais, uma das contribuições desta pesquisa foi realizar um levantamento na literatura sobre as dimensões que operacionalizam esse constructo e avaliá-las empiricamente. A capacidade de BI foi definida em termos de acessibilidade, capacidades analíticas, flexibilidade e integração, e qualidade da informação em termos de atualidade, completude, oportunidade e precisão. O problema de pesquisa foi abordado por meio da metodologia de survey, em que os respondentes foram convidados a participar da pesquisa via e-mail e o questionário foi disponibilizado em forma eletrônica através da ferramenta SurveyMonkey. No total, foram obtidas 483 repostas, das quais 246 foram válidas. Já que o modelo conceitual proposto inclui múltiplas relações de interdependência, a técnica estatística selecionada para analisar os dados foi a modelagem de equações estruturais. O software utilizado foi o SmartPLS que testa o modelo estrutural por meio do método de mínimos quadrados ordinários. Foi possível comprovar empiricamente todas as relações de causalidade propostas entre as dimensões de sucesso dos sistemas de BI, a exceção da relação de moderação da variável abordagem de decisão na relação de causalidade entre satisfação e nível de uso. Um teste subsequente permitiu observar que essa variável poderia ser preditora do nível de uso. Segundo os resultados, é possível afirmar que o sucesso de BI pode ser definido em termos da capacidade de BI, qualidade da informação, satisfação dos usuários e nível de uso. A operacionalização realizada dos constructos multidimensionais \"capacidade de BI\" e \"qualidade da informação\" poderia dar luzes sobre quais características devem ser priorizadas na implantação e/ou desenvolvimento dos sistemas de BI nas empresas. / As well as other investments in Information Technology (IT), Business Intelligence (BI) systems have also been questioned in relation to the benefits and returns obtained after its implementation. These questions arise because the BI product is intelligence, or, in other words, some kind of processed information and the value of information is difficult to assess. This research aims to contribute to this by addressing the issue of evaluation of BI systems through the information systems success model proposed by DeLone and McLean, beyond the traditional dimensions that are interrelated: BI capabilities, quality of information, user satisfaction, and level of use. The decision approach was included as a variable since a key objective of BI systems is to process data coming from different sources to produce information that serves as a basis for the decision-making process. Once the BI capability and information quality are multidimensional constructs, one of the contributions of this study was to review the literature available about the dimensions that operationalize this construct and evaluate them empirically. BI capability was defined in terms of accessibility, analytical capabilities, flexibility and integration, and the information quality in terms of opportunity, completeness, timeliness and accuracy. The research problem was addressed by the survey methodology: the respondents were invited to participate in the survey via email and the questionnaire was made available in electronic form through the SurveyMonckey tool. A number of 246 responses were usable out of the 483 total responses that were obtained. Since the proposed conceptual model includes multiple interdependencies, the statistical technique selected to analyze the data was the structural equation modeling. The software used was the SmartPLS, which tests the structural model using the ordinary least squares method. It was possible to prove empirically all the causal relationships proposed between success dimensions of BI systems, except for the moderation effect of making-decision approach variable on the relationship between satisfaction and usage level. A subsequent test allowed us to observe that this variable could be a predictor of the level of use. According to these results, we can say that the success of BI can be defined in terms of BI capability, the quality of information, user satisfaction and the level of use. The operationalization of the variables BI capability and information quality as a multidimensional construct could enlighten the decision about which features should be prioritized in implementing the development of BI systems in companies.

Changes and challenges that have occurred in the past two decades have forced a radical shift in the basic foundations of how business is conducted. Internal, as well as external forces have forced organisations to constantly monitor their surrounding environment in order to create an awareness of opportunities and threats to allow them to survive in their competitive environment. Organisations need to gather all the information at their disposal, and turn the raw data into intelligence through a process of analysis and an exercise of human judgement. By utilising the potential offered by information systems in the process of generating intelligence and creating a corporate knowledge base to be used in strategic decision-making will lead to competitive advantage and constant innovation. Strategic Intelligence has information as its foundation. This research proposes that through its ability to absorb sources of information, the synergy of Business Intelligence, Competitive Intelligence, and Knowledge Management combined to form Strategic Intelligence, will allow organisations to incorporate all of their information and intellectual capital into a single database or system which will meet the intelligence requirements of management. The purpose of this study is to identify the current use of Strategic Intelligence in the Long-term Insurance Industry in the South African environment, and through the use of a survey questioned the benefits or problems experienced by executive management who have not yet implemented and used Strategic Intelligence as an input to the Strategic Management process, and identified the perceived value Strategic Intelligence could add in the decision-making process. The research study shows that organisations have not yet fully embraced a model for a cooperative global internal corporate Strategic Intelligence System or Portal that will incorporate all aspects of Strategic Intelligence into a single, easily manageable resource for management’s strategic planning and decision-making process, even though it could enhance their ability to withstand the onslaught of global competitors and expand their business into new markets, protect their local market or identify potential merger or acquisition targets, and increase innovation within the organisations. / Business Management / M. Com. (Business Management

Allt fler organisationer börjar se nyttan med Business Intelligence och varför det bör implementeras i sin verksamhet. Genom att använda sig av beslutsstödsystem kan organisationer samla ihop och bearbeta affärs-data och på så sätt få ut mer av sin verksamhet. Idag räcker det inte längre att ha tillgång till endast företagsinformationen inom verksamheten utan det behövs också kunna utnyttja realtids datan genom de mobila enheterna, detta genom Mobile Business Intelligence. Det handlar om en mobil variant av den traditionella business Intelligence (BI).  Med tanke på den mobila användningen ökade tillgängligheten samt prestandan i mobila enheter, så finns det stora möjligheter för Mobile BI ute i verksamheterna. Mobile BI som vilket nytt system som helst kommer även en viss problematik, kritiska framgångsfaktorer har analyserats och utvärderats. Inom dimensionen organisationsstöd identifierades två framgångsfaktorer som kunde styrkas vid namn managementsupport och skickligheter & kunskaper. Utöver dessa kunde även ytterligare två framgångsfaktorer styrkas som kritiska, nämligen datasäkerhet och användbarheten genom den begränsade skärm-ytan. Med denna studie ska det underlätta och göra det enklare för verksamheter att implementera Mobile BI i sin verksamhet. Studien tar upp viktiga framgångsfaktorer vid en implementation av Mobile BI och vad organisationer bör ha i åtanke. / More and more organizations are beginning to see the benefits of Business Intelligence and why it should be implemented into their business. By using decision support systems, organizations can merge and process business data and thus get more out of their business. Today, access to business information within the business is no longer sufficient, but it also needs to be able to use real-time data through the mobile devices. This through Mobile Business Intelligence, which is about a mobile variant of the traditional business intelligence (BI). Given the current mobile usage and how it has increased accessibility and mobile device performance, there are great opportunities for Mobile BI in the business. Mobile BI as any new system will also come with a certain problematic and critical success factors have been analyzed and evaluated. Within the organizational support dimension, two success factors were identified that was confirmed critical by name management support and knowledge and skills. In addition to these, another two success factors could be proved critical, named data security and usability through the limited screen area. With this study, it will facilitate and make it easier for businesses to implement Mobile BI in their operations. The study addresses key success factors in implementing Mobile BI and what organizations should keep in mind.

Assim como outros investimentos em tecnologia da informação, os sistemas de Business Intelligence (BI) também têm sido questionados em relação aos benefícios e retornos obtidos depois de sua implantação. Isso porque o produto de BI é inteligência, ou, em outras palavras, algum tipo de informação processada, e o valor da informação é difícil de avaliar. A presente pesquisa pretende contribuir ao estudo desse problema de pesquisa, abordando o tema da avaliação dos sistemas de BI por meio do modelo de sucesso de sistemas de informação proposto por DeLone e McLean. Além das dimensões tradicionais inter-relacionadas do modelo: capacidade de BI, qualidade da informação, satisfação dos usuários e nível de uso, foi incluída a variável a abordagem de decisão, pois um dos principais objetivos dos sistemas de BI é processar dados advindos de diferentes fontes, para produzir informação que sirva como suporte para a tomada de decisão. Uma vez que a capacidade de BI e a qualidade da informação são constructos multidimensionais, uma das contribuições desta pesquisa foi realizar um levantamento na literatura sobre as dimensões que operacionalizam esse constructo e avaliá-las empiricamente. A capacidade de BI foi definida em termos de acessibilidade, capacidades analíticas, flexibilidade e integração, e qualidade da informação em termos de atualidade, completude, oportunidade e precisão. O problema de pesquisa foi abordado por meio da metodologia de survey, em que os respondentes foram convidados a participar da pesquisa via e-mail e o questionário foi disponibilizado em forma eletrônica através da ferramenta SurveyMonkey. No total, foram obtidas 483 repostas, das quais 246 foram válidas. Já que o modelo conceitual proposto inclui múltiplas relações de interdependência, a técnica estatística selecionada para analisar os dados foi a modelagem de equações estruturais. O software utilizado foi o SmartPLS que testa o modelo estrutural por meio do método de mínimos quadrados ordinários. Foi possível comprovar empiricamente todas as relações de causalidade propostas entre as dimensões de sucesso dos sistemas de BI, a exceção da relação de moderação da variável abordagem de decisão na relação de causalidade entre satisfação e nível de uso. Um teste subsequente permitiu observar que essa variável poderia ser preditora do nível de uso. Segundo os resultados, é possível afirmar que o sucesso de BI pode ser definido em termos da capacidade de BI, qualidade da informação, satisfação dos usuários e nível de uso. A operacionalização realizada dos constructos multidimensionais \"capacidade de BI\" e \"qualidade da informação\" poderia dar luzes sobre quais características devem ser priorizadas na implantação e/ou desenvolvimento dos sistemas de BI nas empresas. / As well as other investments in Information Technology (IT), Business Intelligence (BI) systems have also been questioned in relation to the benefits and returns obtained after its implementation. These questions arise because the BI product is intelligence, or, in other words, some kind of processed information and the value of information is difficult to assess. This research aims to contribute to this by addressing the issue of evaluation of BI systems through the information systems success model proposed by DeLone and McLean, beyond the traditional dimensions that are interrelated: BI capabilities, quality of information, user satisfaction, and level of use. The decision approach was included as a variable since a key objective of BI systems is to process data coming from different sources to produce information that serves as a basis for the decision-making process. Once the BI capability and information quality are multidimensional constructs, one of the contributions of this study was to review the literature available about the dimensions that operationalize this construct and evaluate them empirically. BI capability was defined in terms of accessibility, analytical capabilities, flexibility and integration, and the information quality in terms of opportunity, completeness, timeliness and accuracy. The research problem was addressed by the survey methodology: the respondents were invited to participate in the survey via email and the questionnaire was made available in electronic form through the SurveyMonckey tool. A number of 246 responses were usable out of the 483 total responses that were obtained. Since the proposed conceptual model includes multiple interdependencies, the statistical technique selected to analyze the data was the structural equation modeling. The software used was the SmartPLS, which tests the structural model using the ordinary least squares method. It was possible to prove empirically all the causal relationships proposed between success dimensions of BI systems, except for the moderation effect of making-decision approach variable on the relationship between satisfaction and usage level. A subsequent test allowed us to observe that this variable could be a predictor of the level of use. According to these results, we can say that the success of BI can be defined in terms of BI capability, the quality of information, user satisfaction and the level of use. The operationalization of the variables BI capability and information quality as a multidimensional construct could enlighten the decision about which features should be prioritized in implementing the development of BI systems in companies.

Neste final de século o processo de globalização dos mercados e seu efeito sobre os padrões de conduta econômica, política, social e organizacional, vêm assumindo importância crescente, compondo um cenário no qual a competitividade emerge como uma questão imperativa. Como característica das empresas modernas, tem-se o aumento de padrão de automação onde as tecnologias tem disponibilizado o acesso a uma grande quantidade de dados. Tecnologias de data warehouse (DW) têm servido como repositores desses dados e o avanço nas aplicações de extração, transformação e carregamento (ETL) têm aumentado a velocidade da coleta. Atualmente, muito se tem discutido a respeito desse produto secundário resultante dos processos empresariais, os dados, que tem sido vistos como uma potencial fonte de informação capaz de possibilitar às instituições a garantia de sobrevivência em sua indústria. Nesse contexto, os sistemas de Business Intelligence (SBI), que têm como função prover o tratamento dos dados e entregar informação acionável que pode ser usada para uma específica tomada de decisão, têm recebido o reconhecimento de sua importância por parte dos executivos para a continuidade de suas empresas. Fato esse reforçado pelos resultados de pesquisas realizadas mundialmente pelo Gartner onde por anos seguidos os SBI têm sido relatados pelos executivos como o sonho de consumo das empresas. Aplicações de business intelligence têm dominado a lista de prioridade de tecnologia de muitos CIOs. Apesar desse cenário bastante favorável para os SBI, o Gartner Group aponta um elevado índice na subutilização desses sistemas, o que nos leva a questionar porque um sistema importante e desejado pelas empresas não consegue atender as expectativas dos usuários. Assim surgiu a proposta de estudar nesse trabalho a influência das dimensões fatores críticos de sucesso (FCS) e benefícios esperados (BE) sobre a dimensão intenção de uso (USO) da informação disponibilizada pelos SBI, verificando o efeito das variáveis de cada dimensão sobre o USO. Para isso foi estabelecido um modelo conceitual relacionando as dimensões mencionadas utilizando-se como referência outros trabalhos acadêmicos, suas variáveis e resultados de pesquisa. Foi realizada uma pesquisa quantitativa com a aplicação da técnica estatística Partial Least Square (PLS) com os dados obtidos de usuários de SBI em diferentes áreas da empresa de diferentes setores. Com o uso da técnica PLS, foi possível obter os indicadores para as variáveis das dimensões e estabelecer o modelo estrutural baseado em confiança. / As this century ends, the market globalization process and its effect on patterns of economic, political, social and organizational behaviors become increasingly important, composing a scenario in which competitiveness emerges as an imperative issue. As a trait of modern enterprises, there is an increase in automation standards where technologies provide access to a large amount of data. Technologies of data warehouse (DW) have been serving as repositories of such data and advances in extraction, transformation and loading (ETL) applications have been increasing the speed of data collection. More recently, much has been discussed about this secondary product resulting from business processing: the data that has been seen as a potential source of information able to allow institutions guarantee survival in their industry. In this context, Business Intelligence Systems (BIS), that have as function provide data processing and deliver actionable information, i.e., information that could be used for a specific decision making, have received recognition from executives of its importance to the continuity of their business since for years, has been reported in research conducted worldwide by Gartner as the technology desire of these professionals. Business Intelligence applications have been considered the technology priority investment of many CIOs. Despite of this favorable scenario for Business Intelligence Systems, the Gartner Group indicates a high level of underutilization of these systems which leads us to question why an important and desired business system cannot achieve user\'s expectations. Thus, this work proposes to study the influence of the dimensions critical success factors (CSF) and expected benefits (BE) on the dimension use (USO) to the information provided by BIS, checking the effect of each dimension on the USO emerged. To do this a conceptual model was established by relating these dimensions using as reference other academic papers, their variables and search results. It was realized a quantitative research with an application of statistical technique Partial Least Square (PLS) with data obtained from users of BIS in different areas of the company from different sectors. Using the PLS technique, it was possible to obtain indicators for the variables and dimensions to establish the structural model based on trust.

The purpose of this study is to understand how business intelligence and the information it provides is interpreted by two different groups of people - the business users and the technical team in a BI system. To fulfill the purpose of the research an analytical process with an interpretive approach has been used. Through the Gioia methodology the study was conducted as a single case study at a staffing agency located in Sweden with approximately 800 employees. Eight interviews were conducted at the company with four members from the technical team and four members from the business users. The findings of this study shows that two aggregated dimensions have emerged - Use of BI and Nature of BI. The empirical investigation show a clear difference between the technical team and the business users perception of BI, which is highlighted by the emerged aggregated dimensions and the coherent second order themes. To conclude, this demonstrates that there are not only technical challenges with BI, but also intangible challenges. This means that there are disparities in understanding BI, as well as there are disparities in interpreting the information it provides. / Syftet med denna studie är att förstå hur Business Intelligence och den tillhörande informationen tolkas av två olika grupper av människor - the business users och the technical team i ett BI system. För att uppfylla syftet med forskningen har en analysprocess med en tolkningsmetod utförts. Genom Gioia-metoden har studien genomförts som en enskild fallstudie hos en bemanningsbyrå i Sverige med cirka 800 anställda. Åtta intervjuer genomfördes på företaget med fyra medlemmar från the technical team och fyra medlemmar från the business users. Resultatet av denna studie visar att två aggregerade dimensioner har uppstått - Use of BI och Nature of BI. Den empiriska undersökningen visar en tydlig skillnad mellan the technical team och the business users uppfattning om BI, vilket framhävs av de uppkomna aggregerade dimensionerna och de sammanhängande andra ordningens teman. Avslutningsvis visar detta att det inte bara finns tekniska utmaningar med BI utan även immateriella utmaningar. Det betyder att det finns skillnader i att förstå BI, och att det finns skillnader i tolkningen av den information som BI tillhandahåller.

Agila Business Intelligence System (ABIS) är en relativt ny och komplex typ av informationssystem, som kännetecknas av förkortade utvecklingstider, genom att exempelvis införa mer självbetjäning i de analytiska systemen, för att kunna möta ett behov av att analysera omvärldsfaktorer, som förändras i en allt snabbare takt. Eftersom ABIS är ett nytt och relativt outforskat område, finns ett behov av att utforska detta område. IT-investeringar är alltför ofta olönsamma och finns ett intresse av att visa på vad som bidrar till ett framgångsrikt införande av ett ABIS och på vilket sätt. Syftet med denna fallstudie var att identifiera högt rankade och gemensamma faktorer baserat på de kritiska framgångsfaktorer som belagts av tidigare forskning inom ABIS, beskriva hur dessa bidragit till ett framgångsrikt införande samt utröna skillnader och/eller likheter mellan hur dessa faktorer verkar ur kund- respektive leverantörsperspektiv. Som underlag för denna studie användes framför allt tidigare forskning kring kritiska framgångsfaktorer för Business Intelligence System. Speciellt en modell som utvecklades 2010 av Yeoh och Koronios användes som utgångspunkt för att lista de potentiella faktorer, som skulle beaktas av denna studie. Denna undersökning genomfördes som en fallstudie med hjälp av ett företag, som både levererar konsulttjänster och ABIS. En Delphipanel användes för att sortera fram framgångsfaktorer, som sedan studerades närmare genom semistrukturerade intervjuer för hur dessa kritiska framgångsfaktorer bidragit till ett framgångsrikt införande av ABIS från dels ett kundperspektiv, dels ett leverantörsperspektiv. De två faktorer som rankades högt och samtidigt delades av samtliga respondenter var: affärsvision och planer datakvalitet och dataintegritet Kundperspektivet var det styrande och leverantörens roll var ordentligt förstå kundens perspektiv, för att på så sätt framgångsrikt införa ABIS. Affärsvision och planer var av betydelse för att koppla införande till kundens målsättningar. Datakvalitet och dataintegritet var den mest betydelsefull faktorn utifrån den resursfördelningen skedde inom ett införandeprojekt för ABIS. / An Agile Business Intelligence System (ABIS) is a relatively new and complex type of information system, which is characterized by shortened development times, for by example introducing more self-service in the analytical systems, in order to meet the need to analyze the business environment, which is changing at an even faster pace. As the ABIS is a new and relatively uncharted area there is a need to explore this area. IT investments are too often unprofitable and there is an interest to show what contributes to a successful implementation of an ABIS and in which manner. The purpose of this case study was to identify highly ranked and common critical success factors based on the critical success factors faced by previous research in ABIS, describe how these contributed to a successful introduction of the system and examining differences and / or similarities between how these factors act from customer and supplier perspective. Earlier research on critical success factors for business intelligence systems was used as a basis for this study. Especially the model developed in 2010 by Yeoh and Koronios was used as a starting point to list potential factors to be considered by this study. This study was conducted as a case study with the help of a company that delivers both consulting services and ABIS. A Delphi panel was used to shortlist two success factors, which were then studied in more detail in semi-structured interviews to describe how these contributed to the successful introduction of ABIS from both a client as well as a supplier perspective. The two factors that both ranked high and were common for all respondents were: Clear vision and well-established business case Data quality and data integrity The leading perspective was the customer and the supplier role was to properly understand the customer perspective in order to successfully introduce ABIS. The vision and business case were important to link the introduction ABIS to client objectives. Data quality and data integrity was the most significant factor on the basis of the resource allocation of implementation projects for ABIS.