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Building an Effective Competitive Intelligence System for XXX Corporation
Michalko, Miroslav ; Černý, Radoslav (referee) ; Bartes, František (advisor)
This diploma thesis results from the need for Competitive Intelligence as a system for gathering, analyzing and communicating information about competitors to obtain a competitive advantage. The work attempts to analyze current knowledge gathering processes as well as an application of that information for strategic decision making inside the XXX corporation. After definition of basic terms several different methods and approaches to Competitive Intelligence are described. These methods are reviewed and those that suit XXX requirements best are picked up afterwards. In this thesis there are also identified some of the crucial information sources, to begin with public and commercial databases and catalogues, business publications, online sources, personal knowledge, but also data-mining and other sophisticated methods. The main contribution of this work is the proposal of Competitive Intelligence system itself, empathising an effective functionality that solves identified issues, and is based on our theoretical resources and on actual competence of the company.
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Building an Effective Competitive Intelligence System for XXX Corporation
Michalko, Miroslav ; Černý, Radoslav (referee) ; Bartes, František (advisor)
This diploma thesis results from the need for Competitive Intelligence as a system for gathering, analyzing and communicating information about competitors to obtain a competitive advantage. The work attempts to analyze current knowledge gathering processes as well as an application of that information for strategic decision making inside the XXX corporation. After definition of basic terms several different methods and approaches to Competitive Intelligence are described. These methods are reviewed and those that suit XXX requirements best are picked up afterwards. In this thesis there are also identified some of the crucial information sources, to begin with public and commercial databases and catalogues, business publications, online sources, personal knowledge, but also data-mining and other sophisticated methods. The main contribution of this work is the proposal of Competitive Intelligence system itself, empathising an effective functionality that solves identified issues, and is based on our theoretical resources and on actual competence of the company.
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Metody hodnocení environmentálních dat‚ informací a indikátorů: Průzkum efektivity informačních služeb MŽP
BEZK, o.s. Praha ; Univerzita Karlova v Praze, Filozofická fakulta, Ústav informačních studií a knihovnictví, Praha ; Fraňková, Adéla ; Levá, Petra ; Mihalíček, Matouš ; Bilinová, Markéta ; Činčera, Pavel ; Sluková, Petra ; Souček, Martin ; Činčera, Jan ; Papík, Richard
Tato část zprávy pojednává o provedeném průzkumu efektivity informačních služeb Ministerstva životního prostředí. Je členěna do dvou hlavních celků: indikativní části, popisující metodiku projektu, ověřované hypotézy a závěry, a prezentační části. Ta sestává z kapitol: průzkum využití informačních služeb MŽP/CENIA pro výzkum a vývoj, analýza návštěvnosti www stránek, průzkum mezi celostátně působícími nevládními organizacemi, průzkum mezi komerčně působícími subjekty, průzkum mezi učiteli různých stupňů škol a průzkum mezi veřejnými a odbornými knihovnami.
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Credibility of information in state institutions
Dubrovin, Aliaksandr ; Rosický, Antonín (advisor) ; Toman, Prokop (referee)
This work describes the problem of information credibility in state institutions with the help of using various methods (deduction, induction and synthesis). Work describes mainly theory but also some existing approaches in real work of this institutions. The work describes the problem beginning from collecting information, verifying information and information sources, related credibility, concepts, typologies and so on. Then, it describes the phenomenon of misinformation (or disinformation) and clarifies if this phenomenon is a part of real daily work of certain state institutions. Then in work is described the Ministry of Foreign Affairs of the Czech Republic and their approach to information (typology of information, resources, verifying information, actors which collect information). In addition, work presents such institution as the Office for Foreign Relations and Information, which is also a state institution and is a leading supplier of information to the MFA. Understanding the issue of such a sensitive topic in such closed institutions is based on publicly published sources. In work are also described methodologies of verifying information and procedures of risk management used in the situation of obtaining false information. At the same time, work contains a few of author's solutions for some parts of the work.
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Data Visualization in Business Management
Greif, Tomáš ; Švecová, Lenka (advisor) ; Theodor, Michal (referee)
Diploma thesis describes basics terms of data visualization elements in the theoretical part. There are the following main topics covered -- importance of data visualization in business management, description and application of main chart types, design and usage of complex visualizations (dashboards), key features of modern data visualization technology. Theoretical grounds are then applied on real examples from different companies in order to show how managers can benefit from good data visualization techniques. Examples from significantly different areas were chosen -- financial management, operations management, analysis of process efficiency.
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Informační analýza dat ze sčítání lidu pomocí statistických modelů
Grim, Jiří ; Hora, J. ; Boček, Pavel ; Somol, Petr ; Pudil, P.
We describe a new method of information oriented data analysis (data mining) based on a quick evaluation of a virtual list of several hundreds of thousands of sub-populations. The sub-populations can be ordered according to different criteria like conditional probability of a value, conditional entropy of a variable or mutual informativity of a pair of variables. In this way we can identify causal relations between values and variables in a qualitatively new way.
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