National Repository of Grey Literature 15 records found  previous11 - 15  jump to record: Search took 0.02 seconds. 
Evolution and value ob Business Intelligence in the period of economic crisis
Prchlík, Tomáš ; Slánský, David (advisor) ; Pour, Jan (referee)
The goal of this thesis is to create a comprehensive overview of how the economic crisis influenced the business intelligence market. The introduction is dedicated to the general principles of the business intelligence technologies. It is followed by analysis and identification of the commercial sector's problems associated with the recent economic decline as well as shortcomings that the corporate executives commit in the times of economic growth, and a proposal of solutions to these problems using Business Intelligence applications. The next part of the work is focused on the global analysis of benefits of the solutions and their future development. The final part of the thesis serves as an argument to highlight the importance of BI and is demonstrated on several examples of successful BI implementations in various businesses operating in different sectors. The thesis aims not only to analyze and document the development and changes in the understanding of Business Intelligence during the economic crisis but it should also motivate potential readers from among the management to consider whether they should also support the acquisition of BI in their businesses. This document should prove that if they invest in Business Intelligence in times of crisis then they might not need to implement unpopular solutions to their problems. The relevance of this subject is only underscored by the fact that unless the development of the world economy improves its current course, we might find ourselves at the beginning of another, perhaps even more significant crisis. The appendix summarizes the BI applications' inputs, different processing and information analysis methods, and the possibility of using their outputs to improve the operation of the enterprise.
Controlling
Zadinová, Olga ; Mikovcová, Hana (advisor) ; Horváthová, Vladimíra (referee)
Success of a company is obviously influanced by superior desicion making of its management. No matter of size, bussiness, locality, all companies face this fact. In order to be able to utilize all information flowing into, within, out of a company, a manager needs help. The solution could be to build controlling system. The main aim of the thesis is comparison of principles applied in companies and theoretical controlling. Business differences are taken into account. The thesis is divided in two main parts, which lead to fulfilment of the main goal. First part prepares information base for analytic research. It includes description of historical development, controlling tools and tasks. The second part comprises research methods and the most important part of the thesis, which is focused on revealing of aplied controlling within analyzed companies.
Cardio Online Reader – An Easy Way to Obtain Valid Scientific Articles in Cardiology
Zvolský, Miroslav
Searching for the clinical valid information in the large bibliographic database can be time consuming and hard work. We designed an easy-to-use web service Cardio Online Reader (COR) specialized on the topic of Cardiology. As a source we use the PubMed database adding simple filter and social functions for sharing the content.
Fulltext: content.csg - Download fulltextPDF
Plný tet: 0364987 - Download fulltextPDF
Asimilace časoprostorového rozložení radionuklidů v časné fázi radiační nehody
Hofman, Radek ; Šmídl, Václav
Exploitation of the data assimilation methodology in the early phase of radiation accident is studied. When radioactive pollutants are released into the atmosphere, a radioactive plume is passing over the terrain. The released radioactive material causes pathway-specific irradiation which has detrimental effects on population health. In order to ensure efficiency of introduced countermeasures, it is necessary to predict spatial and temporal distribution of the aerial pollution and material already deposited on the ground. The predictions are made by the means of a numerical dispersion model with many inputs. Output of such a model is a prediction of radiation situation given in terms of radiological quantities. Exact values of the inputs are uncertain due to the stochastic nature of the dispersion, lack of accurate information, etc. Their subjective choice can introduce significant errors into the predictions and thus decrease the positive impact of the countermeasures.

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