Context: Organizations strive to improve their business processes, and adaptive business processes have recently attracted much attention in that context. However, much research in that area has a narrow focus and does not consider a comprehensive view of the organization and its goals. In addition, Business Intelligence-based monitoring methods are useful for business process improvement but they often present information in a format that is not entirely suited for decision making. Objectives: The main objectives of this thesis are to provide: • A framework to model goals, processes, performance, situations, and improvement patterns using one modeling notation, in an iterative and incremental manner; • A method for the modeling and analysis of cause-effect relationships between indicators used to measure goal satisfaction; and • A technique allowing the detection of undesirable, sub-optimal conditions and the application of improvement patterns to the context Method: We develop an iterative framework based on the User Requirements Notation (URN) for modeling, monitoring and improving business organizations and their business processes. In addition, we introduce a formula-based evaluation algorithm allowing better analysis of the relationships between the business performance model elements (namely indicators). Furthermore, we use a profiled version of the Aspect-oriented URN (AoURN) with extensions (Business Process Pattern profile), for detecting undesirable conditions and for business process adaptation. We validate the novelty and feasibility of our approach by performing a systematic literature review, by assessing it against Zellner’ mandatory elements of a method, by developing tool support, by performing a pilot experiment and by using real-life examples from different sectors (healthcare and retail). Results: The two examples show that through the framework’s iterative approach, organizations at different levels of maturity in their business improvement journey can benefit from the framework. Furthermore, our systematic literature review shows that although there are existing works that enable our vision, most of them have a narrow focus and do not cover the three organization views that are of interest in this research. AoURN allows analysts to find repeated patterns in a context and bundle goal, performance and process models as a self-contained unit. AoURN hence enables the modeling of complex circumstances together with analysis techniques for what-if analysis and process adaptation, all using a unified and integrated modeling language. Finally, the pilot experiment suggests that, with some level of documentation and training, users who are already familiar with URN can use the profiled AoURN provided in this thesis as well as the discussed improvement patterns.

The main objective of this thesis is to create a list of critical success factors (CSF) of Business Intelligence implementation in the non-commercial sector and check this list in practice on real projects. Part of the thesis is also the summary of all specifics and differences of BI implementation in public sector and the view of usage possibilities of BI in this sector in relationship on already implemented projects in the Czech Republic so and abroad. The thesis is composed of theoretical and practical part. Theoretical part is focused on problems related to this area, especially analyses the present state of BI in public sector and features specifics and differences related to BI implementation in this area. Further also describes all significant critical success factors of BI implementation in general. Practical part is then aimed on particular verification of Business Intelligence CSFs on real projects realized in non-commercial sector inside of the Czech Republic. As a main tool for obtaining needed and objective information were used managed interviews with competent deputies of submitter (customer) and supplier of particular BI solution. The main contribution of this thesis is determination of differences, but also consistent components of Business Intelligence implementation in non-commercial sector compared to private sector with emphasis on critical success factors. Significant is also the comprehensive view of possibilities and advantages of BI usage in public sector, created by analysis of already implemented projects. These achieved results can be utilized by future (and contemporary) suppliers and submitters of BI projects, but also of other projects from information science area.

Diploma thesis is focused on the strategic performance management and Business Intelligence domain. Main objectives of the thesis are to define strategic goals of building enterprise by help of the Balanced Scorecard (BSC) concept and to assign specific metrics to these strategic goals. Another objective of this work is to design Business Intelligence (BI) implementation which means building a data warehouse upon company data, multidimensional cubes and user-defined reports. Initial theoretical principles are described in the first part of this work in which main issues of strategic performance management, BSC concept and BI domain are specified. In the practical part the strategic goals and specific metrics of building enterprise are defined. The output of this chapter is an overall strategic map containing strategic goals with assigned metrics and also comments describing mutual relationships of these goals. Next chapter deals with building a data warehouse upon company data, multidimensional cubes and user-defined reports with measured values interpretation. Contribution of the thesis consists in the enterprise management model upon BSC concept which helps specify strategic goals and also the design of BI implementation which should simplify monitoring of these strategic goals by the help of the metrics specified. Another contribution for building industry enterprise management can be an overview of main BI technologies and the ways and means of its practical application.

Connections of the World of Information Technologies and its surroundings are increasingly growing and nobody can be surprised that the key success business factors are, for instance, correct and consistent processes supported by informational system. To implement this kind of back-office system doesn't already mean to get a competitive advantage, so therefore systems which support a decision making (also noticed as MIS, management information system) are becoming a standard. Implementation of any information system in a specific environment is a complex process which contains a lot of methods, procedures and tools which are called together as a methodology. The main aim of this work is the concept of the implementation methodology for financial planning and controlling software. This concept is based on the exact software which is already implemented and used in practice all over the world, but its implementation is always a matter of the particular provider. However, the output of this work is the methodology which is used as an internal material in a company I work nowadays for, it can be also an inspiration or a formal order of the implementation of similar system. Whole work could be divided into three components which are leading to reach the main aim. First two fragments are introducing systems which support decision making, and they are also informing about current market situation and requirements of planning and controlling upheld by these tools. The third part is concerned with the implementation of information systems and it is introducing existing methodologies which are used within MIS implementations. The last part is fundamental and practical, it contains actual concept of the implementation methodology with its practical example.

This thesis addresses issues of measuring and managing the performance of commercial bank institutions by means of a system called Corporate Performance Management (CPM). The theoretical part of this work is devoted to introduction of banking industry and methods of performance measurement in commercial banks. It introduces a general concept and key components of CPM supported by Business Intelligence technology. In the practical part of this work there is introduced the design of two concrete CPM solutions which are being currently built in banks -- KPI processing and interest margin calculation. The main thesis contribution to the existing literature is a creation of complex material about relevant aspects of implementation CPM solutions in data warehouses of commercial banks and creation the conceptual design of a concrete solution.

Main focus of the thesis lies in the corporate management decision support deploying and using IT / ICT. Specific technology described is Business Activity Monitoring. The contribution of the work lies primarily in two planes. The first plane is to create as far as the most comprehensive view of the BAM. The findings are collected from different directions and areas. The first direction of research is focused on the development of Business Intelligence and description of BAM as a trend of BI, including the stages of development and projections into the future. The second direction focuses primarily on a detailed circumscribe of BAM. Its definition, deployment assumptions, basic models, the way how business can benefit from BAM usage. The third guideline shows the classification of BAM surrounded by the other / similar technologies and business solutions -- BI and BSM, and the search key differences. The second level of the work is to support the AML implementation in a specific environment of banks using BAM. This is a practical demonstration of the possibility of using BAM in practice. Basic design solution lies in the analysis of risks arising from the law and the current state of the solution. By mapping of banking processes and searching for points of risk it is then possible to deploy these risks BAM tools for their management. Motion of support lies mainly in conceptual terms.

This thesis is focused on SAS Enterprise Intelligence Platform product and it's capabilities to integrate within a Business Intelligence solution. The aim of the thesis is to describe integration technolgies that the platform features, as well as to determine their application field and compare them, eventually add usage examples. The first part of the thesis explains the general concept and architecture of Business Intelligence, afterwards the reader gets familiar with the SAS Enterprise Intelligence Platform, it's stucture and components and it's Business Intelligence market position. The second part of the thesis contains description (how they work and what they are good for) of the integration technologies available in SAS Enterprise Intelligence Platform. Those technologies are mostly implementations of the most common industry standards (database APIs, COM/DCOM, CORBA, web services). The study also includes description of these standards supported by SAS. The thesis features also comparisions of the integration technologies, namely comparison of database API implementations and comparision of Integrated Object Model API with SAS BI Web Services.

This diploma thesis deals with the problem of automatic alerting on Microsoft SQL Server 2008 platform. Thesis was elaborated with Clever Decision s.r.o. company which significantly contributed to thesis assignment. Main goal of this thesis is to provide a solution concept for absence of alerting for multidimensional data in Microsoft's product. Alerting is aimed at critical business data -- Key performance indicators - KPIs. KPIs are used to deliver enhanced business performance through Corporate Performance Management concept. These indicators need to be watched frequently. Considering that alerting solution is convenient for watching the data. Solution concept is based on market research of Business Intelligence (BI) platforms which dominates the market. Platforms are examined for their alerting capabilities. Next goal is to provide overall insight to KPI management -- creating, managing, analyzing and monitoring of KPIs. Thesis is divided into three sections. First part creates theoretical background for solution creation and describes the field of KPI management. Second part consists of market research using selected criteria. Third part is aimed at providing the solution concept through web application fixing the absence of alerting on Microsoft SQL Server 2008 platform. This thesis is primarily intended for Clever Decision company but also for various BI experts dealing with alerting problems on BI platforms. Thesis serves also as a theoretical summary of KPI management which is commonly evaded by available technical literature.

This diploma thesis deals with the implementation of Business Intelligence solution in a travel industry company and its interconnection to Balanced Scorecard as one of the enterprise performance management tool. First part focuses on pointing out the main theoretical foundations of Balanced Scorecard and Business Intelligence. It describes Balanced Scorecard and its principles and it also defines Business Intelligence, the architecture of BI and the implementation process generally. In the second part the particular metrics model is generated and a few specific metrics from this model are implemented in the Business Intelligence pilot project.

Diploma thesis is focused on the implementation of customer relationship management and Business Intelligence solutions in the small business company using open source technologies. Main objective of the thesis is implementation of CRM and Business Intelligence and evaluation of usability of these solutions. Thesis describes basic elements of these solutions. For the setting up metrics is using Balanced Scorecard. In the next part of this thesis is designed the whole Business Intelligence including the creating of data model and OLAP cubes using open source technologies. Theoretical background is described in the first part of thesis. There are defined basic terms from scope of strategic management using Balanced Scorecard, CRM and Business Intelligence. Thesis demonstrates using and creation of the whole Business Intelligence solution. There are also evaluated difficulties in implementation of these products. In thesis is designed data warehouse and the whole solution including reports.