Care process monitoring is important in healthcare domains to provide precise and detailed analytics on patients, providers, and resources participating in a care process and their status. These analytics are used to keep track of whether the quality of care goals set by healthcare organizations are satisfied and ensure that legislative and organizational guidelines are followed. The complexity of care process monitoring can vary depending on whether the care process takes place in a hospital or out in the community, and it can vary depending on the complexity of the information technology infrastructure that is in place to support the care process. A Care Process Monitoring Application (CPMA) is a software application which collects and integrates data from various sources while a care process is being provided, in order to provide performance reporting of metrics that are used to measure how well the performance goals and guidelines for the care process are being met. In our research, we have studied how CPMAs are built in order to improve the quality of their engineering. The significant challenge in this context is how to engineer a CPMA so that the engineering process is repeatable, produces a CPMA of consistent high quality, and requires less time, less effort and less complexity. This thesis proposes an application framework for care process monitoring that collects and integrates events from event sources, maintains the individual and aggregate states of the care process and populates a metrics data mart to support performance reporting. Our contributions are the following: a state-based application meta-model of care process monitoring, a care process monitoring architectural pattern, and finally, a behavior driven development methodology for CPMAs based on our meta-model and architectural pattern. Our results are validated through three different case studies in which we collaborated with two different health care organizations to build and deploy CPMAs for two different care processes (one hospital-based, the other community-based) in collaboration with healthcare clinicians and researchers.

This master thesis deals with the software support of one Financial and Property Analysis of Municipalities (FAMA). The co-author of this method is Doctor Petr Toth from the Institute of Public Administration and Regional Development at University of Economics in Prague. The method is supported by Microsoft Access database application and two C++ applications ArisDestiller and Prognoza at present time. The aim of this thesis is to evaluate the present software support of Financial and Property Analysis and implement an alternative solution based on Business Intelligence tools. Chosen part of analysis is implemented in the pilot project using Microsoft SQL Server 2005 environment. The thesis focuses mainly on using integration tools for XML data. The contribution of the thesis is to implement data warehouse, which uses the municipalities'annual bills in XML format from the database of Ministry of Finance of the Czech Republic. The Financial and Property Analysis method and the current software support are discussed in the first half of this thesis. The other half of the work is dedicated to the Business Intelligence pilot project. Both means of software support are reviewed and compared from various perspectives in the conclusion.

This diploma thesis deals with an information technology support of organization's decision making processes using Exact Software's enterprise information systems. The main goal of this paper is a demonstration of various Exact Software applications using real world examples from several Czech enterprises. Illustration of various benefits of integrated enterprise systems architecture is another goal of this paper. Possible benefits gained during the process of implementation of Exact Software's applications and necessary requirements that have to be fulfilled create the last goal. Risks and issues that can be encountered during the implementation process are mentioned along with benefits. To achieve these goals this diploma paper contains a lot of practical illustrations supplemented by theoretic explanation. Paper includes four parts. First part is an introduction into decision making processes in enterprises and provides a general overview of Exact Software's enterprise information systems portfolio. Another area covered by the first part is an overview of possible benefits of these systems in according to the level of organization management. Second part is dedicated to Exact Synergy Enterprise. At the beginning of this part there are outlined procedures, benefits and assumptions necessary for successful system implementation. The following text in part two contains many real world examples from the decision making point of view. Third part covers Business Intelligence application Exact Business Analytics from the standpoint of implementation guidelines, prerequisites and benefits. Subsequent subchapters contain practical examples of usage of this system. The last part is comprised from two case studies of Exact Software's systems implementation -- first one is a financial counseling company, second one is a company from the IS/ICT area. The paper as a whole represents unique material for companies that are looking for solutions on their decision making and analytical procedures problems. On the basis of this paper the reader can create an overview of current capabilities of enterprise information systems. A vast majority of presented solutions are system independent i.e. the usage of systems from Exact Software is only exemplary. Case studies of complex enterprise IS architectures in real world enterprises represents another great contribution to this diploma paper.

This thesis deals with the areas of enterprise data quality, data integrity and data consolidation from the perspective of Business Intelligence (BI), which is currently experiencing significant growth. The aim of this thesis is to provide a comprehensive view of the data quality in terms of BI, to analyze problems in the area of data quality control and to propose options to address them. Moreover, the thesis aims to analyze and assess the features of specialized software tools for data quality. Last but not least aim of this thesis is to identify the critical success factors in the field of data quality in CRM and BI projects. The thesis is divided into two parts. The first (theoretical) part deals with data quality, data integrity and consolidation of data in relation to BI trying to identify key issues, which are related to these areas. The second (practical) part of the thesis deals at first with the features of software tools for data quality and offers their fundamental summary as well as the tools breakdown. This part also provides basic comparison of the few selected software products specialized at the corporate data quality assurance. The practical part hereafter describes addressing the data quality within the specific BI/CRM project conducted by Clever Decision Ltd. This thesis is intended primarily for BI and data quality experts, as well as the others who are interested in these disciplines. The main contribution of this thesis is that it provides comprehensive view not only of data quality itself, but also deals with the issues that are directly related to the corporate data quality assurance. This thesis can serve as a sort of guidance for one of the first implementation phases in the BI projects, which deals with the data integration, data consolidation and solving problems in the area of data quality.

Nowadays, when the difference between failure and success is amount of the available information combined with exponential growth of the available information on web leads to rising need to track the quality of the data. This worldwide trend is not only global, but it affects even individuals and companies in particular. In comparison with the past these companies produce higher amount of data, which are more complex at the same time, all to get a better idea about the real world. This leads us to the main problem, when we not only need to gather the data, but we have to present them in such way, so they can serve the purpose for which they have been gathered. Therefore the purpose of this thesis is to focus on processes following the data gathering -- data quality and transformation processes. In the first part of the thesis we will define a basic concept and issues, followed by methods necessary for acquiring requested data in expected quality, which includes the required infrastructure. In the second part of the thesis we will define real-life example and use the knowledge from previous part to design usable solution and deploy it into use. In conclusion we will evaluate the design compared to the result acquired from its real-life utilization.

The thesis introduces a framework for analysing market monitoring and surveillance systems in order to provide a common foundation for researchers and practitioners to specify, design, implement, compare and evaluate such systems. The proposed framework serves as a reference map for researchers and practitioners to position their work in the context of market monitoring and surveillance, resulting in a useful instrument for the analysis, testing and management of such systems. More specifically, the thesis examines the new requirements for the operation of financial markets, the role of technologies, the recent consultations on the structure and governance of EU and US markets, as well as, future usage scenarios and emerging technologies. It examines the context in which market monitoring and market surveillance systems are currently been used. It reports on their processes, performance, and on the organisational and regulatory environments in which they exist. Furthermore, it develops a set of taxonomies which cover the majority of the concepts of market manipulation, market monitoring, market surveillance, entities, technologies and actors that are relevant for the work in this thesis. Building on the gaps and limitations of the current systems, it proposes a new framework following the Design Science methodology. The usefulness of the framework is evaluated through four critical case studies, which not only help to understand with practical exercises the way how markets monitoring and surveillance systems work, but also to investigate their weaknesses, potential evolution and ways to improve them. For each case study, the thesis develops a fully working prototype tested using a sample prosecution case and evaluated in terms of the appropriateness and suitability of the proposed framework. Finally, implications relating to policies, procedures and future market structures are discussed followed by suggestions for future research.

This thesis deals with Business Intelligence and its testing. It seeks to highlight the differences from the classical software testing and finally design a methodology for BI solutions testing that could be used in practice on real projects of BI companies. The aim of thesis is to design a methodology for BI solutions testing based on theoretical knowledge of Business Intelligence and software testing with an emphasis on the specific BI characteristics and requirements and also in accordance with Clever Decision's requirements and test it in practice on a real project in this company. The paper is written up on the basis of studying literature in the field of Business Intelligence and software testing from Czech and foreign sources as well as on the recommendations and experience of Clever Decision's employees. It is one of the few if not the first sources dealing with methodology for BI solutions testing in the Czech language. This work could also serve as a basis for more comprehensive methodologies of BI solutions testing. The thesis can be divided into theoretical and practical part. The theoretical part tries to explain the purpose of Business Intelligence use in enterprises. It elucidates particular components of the BI solution, then the actual software testing, various types of tests, with emphasis on the differences and specificities of Business Intelligence. The theoretical part is followed by designed methodology for BI solutions using a generic model for the BI/DW solution testing. The practical part's highlight is the description of real BI project testing in Clever Decision according to the designed methodology.

The thesis concentrates in analysis of enterprise management tools, that are known as Corporate Perfmormance Tools (hereinafter CPM) and its implementation. Tools from the market leaders will be analysed. Market research from Gartner Inc. will be used as a guide in defining the desired group. The main objective of this elaborate is putting together a set of recommendations of how to implement a CPM solution. Determine critical success factors. A particular target, that helps in defining the implementation phases is a comparison of tools from the CPM market leaders. The targets of the thesis will be reached by description of the theoretical concept and analysis of selected tools, comparison of tools portfolios of selected enterprises from the point of view of the concept complexity and comparison of the theoretical background, technical solution and degree of outer and inner integration. Desciption of the theoretical concept and CPM tools portfolio analysis serves as starting point for determination of correct implementation process. Recommended implementation process and identification of critical success factors are the contribution of the author to this topic. The elaborate is divided into theoretical and analytical parts. The theoretical part consists of introduction, data acquisition methodology and description of the CPM theoretical concept. The analytical part is divided into two main chapters - that is: Market analysis and Implementaion of CPM solutions. The thesis is finished by conclusions summary and suggestions for the topic development.

This thesis deals with the application of Business Intelligence (BI) to support the corporate performance management in ISS Europe, spol. s r. o. This company provides licences and implements original software products as well as third-party software products. First, an analysis is conducted in the given company, which then serves as basis for the implementation of the BI solution that should be interconnected with the company strategies. The main goal is the implementation of a pilot BI solution to aid the monitoring and optimisation of corporate performance. Among secondary goals are the analysis of related concepts, business strategy analysis, strategic goals and systems identification and the proposition and implementation of a pilot BI solution. In its theoretical part, this thesis focuses on the analysis of concepts related to corporate performance and BI implementations and shortly describes the company together with its business strategy. The following practical part is based on the theoretical findings. An analysis of the company is carried out using the Balanced Scorecard (BSC) methodology, the result of which is depicted in a strategic map. This methodology is then supplemented by the Activity Based Costing (ABC) analytical method, which divides expenses according to assets. The results are informational data about which expenses are linked to handling individual developmental, implementational and operational demands for particular contracts. This is followed by an original proposition and the implementation of a BI solution which includes the creation of a Data Warehouse (DWH), designing Extract Transform and Load (ETL) and Online Analytical Processing (OLAP) systems and generating sample reports. The main contribution of this thesis is in providing the company management with an analysis of company data using a multidimensional perspective which can be used as basis for prompt and correct decision-making, realistic planning and performance and product optimisation.

Os sistemas de informação para inteligência de negócio (conhecidos também como BI - Business Intelligence) têm o propósito de coletar, estruturar, preparar e disponibilizar informações referentes aos processos internos e ao ambiente externo das organizações. O uso dessas informações visa suportar o processo de tomada de decisão bem como administração e inovação dos próprios processos de negócio das organizações. Dessa forma, essa classe de sistemas de informações (BI) tem o potencial de melhorar o desempenho individual e organizacional, sendo uma fonte de vantagem competitiva para as organizações. A abordagem de sistemas para BI não pode ser considerada somente como uma sequência de projetos isolados para disponibilização de informações. A gestão das demandas de informações necessárias para o negócio requer um esforço permanente para manter a função de BI alinhada com as necessidades da organização, através de processos que garantam a disponibilidade, o uso de informações e análises compartilhadas com base nos mesmos conceitos, documentação e organização das informações, assim como o suporte e treinamento técnico e funcional nos sistemas existentes. Nesse contexto, surgiu a proposta dos centros de competências de informações para BI, como uma estrutura de suporte para todas as áreas de negócio, sendo o elemento de ligação entre a área de tecnologia da informação e as diversas áreas da empresa para a gestão corporativa das informações. Este trabalho se propôs a operacionalizar uma forma de classificar as estruturas de gestão de informações para BI que são encontradas nas organizações, verificando o efeito de cada tipo de estrutura na qualidade percebida das informações disponibilizadas para as áreas de negócio, bem como o impacto para atividades dos indivíduos nas organizações que utilizam sistemas de BI. Foi realizada uma pesquisa quantitativa em três organizações, cada uma compondo uma amostra de cada tipo de estrutura de gestão de informações. Com a aplicação da técnica estatística de PLS, foi possível obter os efeitos entre as variáveis QI (Qualidade da informação), QGI (Qualidade da Gestão da Informação) e II (Impacto individual), moderados pelo tipo de estrutura de gestão de informações. Apesar de terem sido obtidas diferenças estatisticamente significantes entre as amostras, isto é, que as influências de QGI e QI em II variam estatisticamente de acordo com o tipo de estrutura de gestão de informações, foram pequenas as diferenças absolutas dos efeitos entre as estruturas adotadas em cada organização. Porém, os resultados obtidos nesta pesquisa de caráter exploratório sugerem a necessidade de estudos em uma maior quantidade de organizações, com vários casos para cada tipo de estrutura, a fim de identificar se existe consistência do efeito da variável moderadora nas variáveis analisadas entre diferentes tipos de organizações. / Information systems for business intelligence are designed to collect, organize, prepare and make available information related to internal processes and external environment of organizations. The use of this information is intended to support the process of decision making, business management and innovation of the processes of organizations. Thus, this class of information systems (BI) has the potential to improve individual and organizational performance, being a source of competitive advantage for organizations. The approach to deploy and sustain this class of information of system (BI) cannot be only a sequence of individual projects to make available information required during the scope phase of the project. Demand and delivery management of information necessary for the business requires an ongoing effort to maintain the function of BI aligned with the needs of the organization, through processes that ensure the information availability, use of shared information, information analysis across the organization based on the same concepts, documentation and organization of information, as well as support and training in technical and functional aspects of the systems. In this context, it has emerged the competence centers of information for BI, as a support organization for all areas of business, being the liaison between the area of information technology and the various areas of the company for corporate management of Information. This study proposes to operationalize a framework to classify the structures of information management for BI that are normally found in organizations and check the effect of each type of structure in the perceived quality of the information provided to the business areas as well the impact on individual activities for organizations that use BI systems. It was performed a quantitative study in three organizations, each one composing a sample of each type of management structure information. With the application of the statistical technique of PLS, it was possible to obtain the effects between variables QI (Quality of Information), QGI (Quality of Information Management) and II (Individual impact), moderated by the variable called \"type of information management structure\". Despite having been obtained statistically significant differences between the samples, in other words, that the influence of QGI and QI on II statistically vary according to the type of information management structure, the absolute differences of the effects were small between the respective structures adopted in each organization. However, the results obtained in this exploratory study suggest the need to research a larger number of organizations with multiple cases for each type of structure, in order to identify whether there is consistency in the effect of the moderating variable on the other variables among different types of organizations.