The combination of Cloud Computing and Business Intelligence (BI) gives many advantages, however the classic deployment model is still in many cases preferred. Both models differ in many aspects and are suitable for various organizations. The thesis looks at these aspects and analyzes the differences that cloud computing brings to the Business Intelligence. Aims of the thesis are to compare both models according the architectural, security, user and financial aspects, influencing of the cloud computing on the implementation of BI and presenting some practical examples of BI solution. To achieve the aims the author uses a literature review, electronic sources and own analysis. Based on the identified impact of the cloud factor the author extends the reference model Management of Business Informatics (MBI).

Cílem diplomové práce je návrh a implementace Business Intelligence v malé firmě, jako je personální agentura zabývající se poskytováním ?TEMPORARY HELP?. Požadavky na aplikaci BI jsou koncipovány na základě metodiky Balanced Scorecard. Teoretická část: popis základních principů a nástrojů konceptů BSC a BI včetně definování jejich vzájemného vztahu a specifických nároků daných užitím v malé firmě. Praktická část: ověření získaných poznatků z teoretické části práce v personální agentuře. V rámci BSC byly definovány konkrétní strategické cíle s měřítky a stanoveny strategické akce. Vybrané strategické cíle jsou sledovány vytvořenou BI aplikací v prostředí MS SQL 2000 a MS OFFICE XP.

Business intelligence system for SB market.

O presente trabalho teve como objetivo entender os fatores que facilitam a utilização de sistemas de Business Intelligence em empresas de serviços. Para isso utilizou um modelo EXPECTATION-CONFIRMATION THEORY (ECT) adaptado para avaliar o que favorece a aceitação do sistema, além dos constructos do modelo original proposto por Bhattacherjee (2001b): Confirmação, Satisfação, Utilidade Percebida, Intenção Comportamental de Uso e Continuidade de Uso; foram incluídos três constructos no modelo adaptado: Hábito, Qualidade da Informação e Estratégia Direcionada pela Tecnologia. Após a validação de um questionário do tipo survey por especialistas, o instrumento foi enviado para usuários de Sistemas de BI e obteve 81 respondentes funcionários de empresas de serviços. As conclusões apontam que a maior parte das hipóteses foi confirmada, exceto o efeito moderador do Hábito na Continuidade de Uso e a influência da Estratégia Direcionada pela Tecnologia. Podem-se destacar as contribuições acadêmicas e gerenciais deste trabalho. Como contribuição acadêmica, destacam-se: a construção do referencial teórico sobre Business Intelligence, Big Data, Aceitação de Tecnologia, Estratégia e Empresas de Serviços; e o entendimento sobre a relação dos fatores que influenciam a aceitação de um sistema de BI no mercado brasileiro de serviços. Na implicação gerencial, ressalta-se a conclusão que o fato de a estratégia da empresa ser direcionada pela tecnologia não afetar positivamente a utilidade percebida do sistema de BI, isto pode ser um indício que, independentemente de como o empregado identifica a estratégia da empresa, ele percebe o valor do sistema de BI, o que indica que a ferramenta é útil não apenas para cenários de empresas tecnológicas. O trabalho permitirá diversos desdobramentos e análises alternativas, por seu ineditismo e detalhamentos obtidos sobre os aspectos teóricos selecionados. / The objective of this study was to understand the factors that facilitate the use of Business Intelligence systems in Service companies. To do this, it used an EXPECTATION-CONFIRMATION THEORY (ECT) model adapted to evaluate what helps the acceptance of the system, besides the constructs of the original model proposed by Bhattacherjee (2001b): Confirmation, Satisfaction, Perceived Utility, Behavioral Intention of Use and Continuity of Use; three constructs were included in the adapted model: Habit, Information Quality and Technology Driven Strategy. After the validation of a survey questionnaire by specialists, the instrument was sent to users of BI Systems and obtained 81 respondents from service companies. The conclusions indicate that most of the hypotheses were confirmed, except for the moderating effect of the Habit in Continuity of Use and the influence of the Technology Driven Strategy. It is possible to emphasize the academic and managerial contributions of this work. As an academic contribution, the construction of the theoretical reference on Business Intelligence, Big Data, Acceptance of Technology, Strategy and Service Companies; and the understanding of the relationship between the factors that influence the acceptance of a BI system in the Brazilian services market. In the managerial implication, the conclusion is that the fact that the company\'s strategy is driven by the technology does not positively affect the perceived utility of the BI system, this may be an indication that, regardless of how the employee identifies the company\'s strategy, it realizes the value of the BI system, which indicates that the tool is useful not only for technology companies. The work will allow many developments and alternative analyzes, for its originality and details obtained on selected theoretical aspects.

O presente trabalho teve como objetivo entender os fatores que facilitam a utilização de sistemas de Business Intelligence em empresas de serviços. Para isso utilizou um modelo EXPECTATION-CONFIRMATION THEORY (ECT) adaptado para avaliar o que favorece a aceitação do sistema, além dos constructos do modelo original proposto por Bhattacherjee (2001b): Confirmação, Satisfação, Utilidade Percebida, Intenção Comportamental de Uso e Continuidade de Uso; foram incluídos três constructos no modelo adaptado: Hábito, Qualidade da Informação e Estratégia Direcionada pela Tecnologia. Após a validação de um questionário do tipo survey por especialistas, o instrumento foi enviado para usuários de Sistemas de BI e obteve 81 respondentes funcionários de empresas de serviços. As conclusões apontam que a maior parte das hipóteses foi confirmada, exceto o efeito moderador do Hábito na Continuidade de Uso e a influência da Estratégia Direcionada pela Tecnologia. Podem-se destacar as contribuições acadêmicas e gerenciais deste trabalho. Como contribuição acadêmica, destacam-se: a construção do referencial teórico sobre Business Intelligence, Big Data, Aceitação de Tecnologia, Estratégia e Empresas de Serviços; e o entendimento sobre a relação dos fatores que influenciam a aceitação de um sistema de BI no mercado brasileiro de serviços. Na implicação gerencial, ressalta-se a conclusão que o fato de a estratégia da empresa ser direcionada pela tecnologia não afetar positivamente a utilidade percebida do sistema de BI, isto pode ser um indício que, independentemente de como o empregado identifica a estratégia da empresa, ele percebe o valor do sistema de BI, o que indica que a ferramenta é útil não apenas para cenários de empresas tecnológicas. O trabalho permitirá diversos desdobramentos e análises alternativas, por seu ineditismo e detalhamentos obtidos sobre os aspectos teóricos selecionados. / The objective of this study was to understand the factors that facilitate the use of Business Intelligence systems in Service companies. To do this, it used an EXPECTATION-CONFIRMATION THEORY (ECT) model adapted to evaluate what helps the acceptance of the system, besides the constructs of the original model proposed by Bhattacherjee (2001b): Confirmation, Satisfaction, Perceived Utility, Behavioral Intention of Use and Continuity of Use; three constructs were included in the adapted model: Habit, Information Quality and Technology Driven Strategy. After the validation of a survey questionnaire by specialists, the instrument was sent to users of BI Systems and obtained 81 respondents from service companies. The conclusions indicate that most of the hypotheses were confirmed, except for the moderating effect of the Habit in Continuity of Use and the influence of the Technology Driven Strategy. It is possible to emphasize the academic and managerial contributions of this work. As an academic contribution, the construction of the theoretical reference on Business Intelligence, Big Data, Acceptance of Technology, Strategy and Service Companies; and the understanding of the relationship between the factors that influence the acceptance of a BI system in the Brazilian services market. In the managerial implication, the conclusion is that the fact that the company\'s strategy is driven by the technology does not positively affect the perceived utility of the BI system, this may be an indication that, regardless of how the employee identifies the company\'s strategy, it realizes the value of the BI system, which indicates that the tool is useful not only for technology companies. The work will allow many developments and alternative analyzes, for its originality and details obtained on selected theoretical aspects.

The first aim of this thesis is map the Microsoft development tools for business intelligence systems. This goal devide the tools for develop BI into two groups: tools for traditional BI systems and tools for self-service BI systems. The second aim of this thesis is a critical evaluation of approaches based on the criteria and scenarios focuse on selected business areas. This thesis answers the question if some of the approaches is a better solution for business intelligence systems, or whether one approach is more suitable for business intelligence solutions to some business areas.

Abstract This diploma thesis treats about the latest technologies in the field of self-service BI from Microsoft Corporation. The main goal of this work is to analyze the Microsoft self-service BI solutions, to describe the benefits and advantages of this technology and to show examples with real data in Microsoft self-services BI tools. To achieve the goal, the internet resources, recommended literature, and the software applications PowerPivot and PowerView (Excel 2013) are59 used. In its first part this thesis describes the basic characteristics and technology of classical BI solutions. The second part examines the actual self-service BI solution and its usability. And then analyzes the advantages and benefits compared to conventional technologies. Finally, in its last section describes self-service BI solutions, the DAX language used in PowerPivot and shows example reports with real data from banking sector. The key benefit of this diploma is the verification of the usability and advantages of self-service BI by using Microsoft self-service BI products and tools.

The aim of the thesis is to automate the process of loading data from particular distributors, make data quality management more transparent - consolidate data from particular distributors - mainly in the area of products and points of sale (pharmacies), process existing reports in modern reporting tool, which enables the creation of new reports, including graphically processed territorial data (map reports), with the possibility of interactive viewing of detailed data.

Designing and creating the finished OLAP solutions within Business Intelligence for an undertaking by the customer's requirements using standard technologies and practices that are designed for this purpose. This work describes the work of the design, creation and deployment of the finished project Business Intelligence solution that allows the customer to perform more accurate analysis of their own data in the context of controlling.

The diploma thesis is focused on the evaluation of inforamtion systems of selected company with the support of Business Intelligence tools in the field of economical and financial risks. Theoretical points are focused on the use of new trends in the field of BI. Further theoretical part is the area of risk management. The practical part will analyze the current state of a particular company. The aim is to design analytical and reporting support services with Business Intelligence tools in financial risk for their effective assessment and management.