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.

This thesis follows up two views on the data migration project. First of all there is a basic description of data migration within MBI model. This model is created by information technology department on the University of Economy in Prague. The thesis fills in this model data migration task and related objects as task roles or documents. In the next part the thesis focus on concrete project of implementation of core banking system. More detail is dedicated to the data migration part of this project. First there are described principles of work in data migration and next the thesis aims on data model of data migration which is used as a documentary tool. This model is evaluated from the benefits and risks view for data migration and next there are described creation and updating of it. These activities are provided mostly by macros in VBA script language, which are created here for these purposes. In the end some options of model extension are designed and evaluated.

Information is the currency of our world. Making right decisions requires having reliable, comprehensive and thorough information still at hand. The tools that can provide it? Information systems. However, the purpose of today's information systems is more than to just collect and store information: they need to integrate numerous data sources (both internal and external), identify essential pieces of information and set them apart from the rest, and provide the people relying on them a clear picture of the situation. In short: they should offer unified, user-friendly, well-structured and comprehensive view of business reality. This paper focuses on the first stage of an information system design. Concerned primarily with the business analytical phases of an IT project, it presents an insight into the process of business reality exploration and description through conceptual data model and architecture vision articulation.

Diploma thesis aim to create Management Reporting application. First part focuses to analysis of various Business Intelligence solution and choosing the best one regarding to functional, financial features and availability. Main part is aimed to preparation of data, designing data model, overview of used functions, metrics and creating of reporting application. In the end of thesis is assessment of the application and induction to real business conditions.

The master’s thesis is focused on the assessment of the current state of the selected parts of the information system Zenit at company Nuvia a.s. and the proposal of their modernization. In individual parts of the thesis, there is defined theoretical basis, the assessment of the current state and the proposal of innovation of the current state.

From 2006 to 2016, an estimated average of 50% of big data analytics and decision support projects failed to deliver acceptable and actionable outputs to business users. The resulting management inefficiency came with high cost, and wasted investments estimated at $2.7 trillion in 2016 for companies in the United States. The purpose of this quantitative descriptive study was to examine the data model of a typical data analytics project in a big data environment for opportunities to improve the information created for management problem-solving. The research questions focused on finding artifacts within enterprise data to model key business scenarios for management action. The foundations of the study were information and decision sciences theories, especially information entropy and high-dimensional utility theories. The design-based research in a nonexperimental format was used to examine the data model for the functional forms that mapped the available data to the conceptual formulation of the management problem by combining ontology learning, data engineering, and analytic formulation methodologies. Semantic, symbolic, and dimensional extensions emerged as key functional forms of analytic extension of the data model. The data-modeling approach was applied to 15-terabyte secondary data set from a multinational medical product distribution company with profit growth problem. The extended data model simplified the composition of acceptable analytic insights, the derivation of business solutions, and the design of programs to address the ill-defined management problem. The implication for positive social change was the potential for overall improvement in management efficiency and increasing participation in advocacy and sponsorship of social initiatives.

This masters thesis is dedicated to theme of multimodal databases, especially multimedia databases. The first part contains overview of today's most used data models. Next part summarizes information about content-based search in multimedia content and indexing this type of data. Final part is dedicated to implementation system for storing and managing of multimedia content based on Helix streaming system a PostgreSQL database system.

This study aims to investigate how to work with sustainability in e-commerce, with a focus on making information available to the consumer as well as how this could be conceptualized. This requires a multidisciplinary approach, with domain knowledge based on environmental science and additional knowledge in information and computer science. In the time we live in now, we see an increased need to think sustainably and act for it in society. Consumption of products or services has a great impact on this and to a large extent via e-commerce today where consumers often find themselves confused in how to make a sustainable choice. We must work towards a more sustainable society and living. If we continue to utilize our planet's resources and assets without letting nature recover, we will probably end up in an unsustainable situation. Previous research shows the complexity in terms of sustainability, the definition as such but also how to assess it, a lack of regulated standards complicates the unified picture of what is actually sustainable. Creating an index or some form of standard for sustainability is not possible for us in relation to the time frame and scope of this study. An attempt to clarify what one can do with a focus on the consumer and how he or she can access information that is available or could be, is for us interesting to investigate. What made this possible was an extensive literature study to acquire the domain knowledge required to be able to understand what we needed to focus on, the literature study itself provided good insights and a good foundation as a starting point. By following a work process based on Design Science Research Methodology and with the opportunity to collaborate with an established company that works to guide consumers in e-commerce, we have been able to work in a concrete and relevant context and thus had the opportunity to test our concepts based on a literature study and data collection methods, consisting of questionnaires and interviews. Key findings from the study were that consumers wanted to know more about sustainability as well as the importance of involving the consumer in the process. Based on a literature study and the data collections, a basic data model for sustainability was developed. Companies in e-commerce should take the initiative to support sustainable online consumption. The task is difficult, but doing so could provide a competetive advantage among the companies and at the same time it contributes to a good cause.

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Estimating the impact of different sources of uncertainty along the modelling chain is an important skill graduates are expected to have. Broadly speaking, educators can cover uncertainty in hydrological modelling by differentiating uncertainty in data, model parameters and model structure. This provides students with insights on the impact of uncertainties on modelling results and thus on the usability of the acquired model simulations for decision making. A survey among teachers in the Earth and environmental sciences showed that model structural uncertainty is the least represented uncertainty group in teaching. This paper introduces a computational exercise that introduces students to the basics of model structure uncertainty through two ready-to-use modelling experiments. These experiments require either Matlab or Octave, and use the open-source Modular Assessment of Rainfall-Runoff Models Toolbox (MARRMoT) and the open-source Catchment Attributes and Meteorology for Large-sample Studies (CAMELS) data set. The exercise is short and can easily be integrated into an existing hydrological curriculum, with only a limited time investment needed to introduce the topic of model structure uncertainty and run the exercise. Two trial applications at the Technische Universität Dresden (Germany) showed that the exercise can be completed in two afternoons or four 90 min sessions and that the provided setup effectively transfers the intended insights about model structure uncertainty.