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Towards Complex Data and Information Quality Management
Pejčoch, David ; Rauch, Jan (advisor) ; Máša, Petr (referee) ; Novotný, Ota (referee) ; Kordík, Pavel (referee)
This work deals with the issue of Data and Information Quality. It critically assesses the current state of knowledge within tvarious methods used for Data Quality Assessment and Data (Information) Quality improvement. It proposes new principles where this critical assessment revealed some gaps. The main idea of this work is the concept of Data and Information Quality Management across the entire universe of data. This universe represents all data sources which respective subject comes into contact with and which are used under its existing or planned processes. For all these data sources this approach considers setting the consistent set of rules, policies and principles with respect to current and potential benefits of these resources and also taking into account the potential risks of their use. An imaginary red thread that runs through the text, the importance of additional knowledge within a process of Data (Information) Quality Management. The introduction of a knowledge base oriented to support the Data (Information) Quality Management (QKB) is therefore one of the fundamental principles of the author proposed a set of best
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Big Data Analytics tools
Miloš, Marek ; Pour, Jan (advisor) ; Andrle, David (referee)
The thesis covers the term for specific data analysis called Big Data. The thesis firstly defines the term Big Data and the need for its creation because of the rising need for deeper data processing and analysis tools and methods. The thesis also covers some of the technical aspects of Big Data tools, focusing on Apache Hadoop in detail. The later chapters contain Big Data market analysis and describe the biggest Big Data competitors and tools. The practical part of the thesis presents a way of using Apache Hadoop to perform data analysis with data from Twitter and the results are then visualized in Tableau.
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Trends in analytical CRM
Heřmanský, Michal ; Šperková, Lucie (advisor) ; Jašek, Pavel (referee)
This thesis describes major trends in the field of analytical CRM. The goal is to identify those trends and compare them with current situation on the CRM market. The thesis is devided among several parts. In the opening part is described Customer Relationship Management and architecture of CRM system. The next part discribes analytical CRM and its standard ways of using. The main part of the thesis is identification of trends. Idetificated trends are characterized and compared with situation on the market. The contribution of this thesis is summarizing current trends in CRM analytics and comparsion of those trends with current CRM market situation.
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Big Data, their storage and options of exploitation
Macek, Jáchym ; Chlapek, Dušan (advisor) ; Kučera, Jan (referee)
The content of this bachelor's thesis is to analyze work with data especially with large-volume unstructured data, thus Big Data. The thesis is retrieval and contents informational survey based on questionnaires and interviews. The aim is to evaluate and approximate Big Data theme, their storage, tools for their management and opportunities of its exploitation to the reader from technological and business point of view. The objective for the practical part is a survey. The thesis is divided in to three parts. The first part defines the concept, gives closer look at the issue and is dedicated to open and linked data. The second part deals with the question of storage and opportunities of subsequent exploitation of stored data, tools and technologies for Big Data management. Further, there is evaluation of the advantages and disadvantages and comparison of the Hadoop technologies. In the third part the survey of Big Data issue is published. I use tools of questionnaires and interviews for acquiring information from students and experts. Furthermore, it describes current trends, problems and offers solution from the field.
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Resolution of the information needs of the sales team in the leasing company using ICT tools
Kosíková, Renáta ; Oškrdal, Václav (advisor) ; Wiedermann, Miroslav (referee)
Nowadays information is considered as an essential company source, which is crucial for attaining a competitive advantage. The competitive advantage can be achieved by the acquisition of the relevant information, which is a prerequisite for knowledge creation. Acquired knowledge gives businesses an opportunity to improve their position against competitors quickly by finding the information required for the decision making. Hence the aim of this thesis is to examine the problem of acquisition of the relevant information, where this problem relates to the practice in a leasing company. In order to find the relevant information, the leasing company must precisely define its information needs so that it can obtain the relevant information more efficiently, in particular by using current information management tools. At present, information management is strongly affected by contemporary trends, such as Big Data, mobility, Cloud Computing, social media etc. As a consequence of these trends, volume of electronically processed information increases every day. Due to information oversaturation, information users may face the difficult information search problem. Using both modern information management tools and exactly defined information needs, the company shall obtain the relevant information in less time, or more information in the same time compared to the other firms. This might allow the company to make decisions more rapidly. In addition, information management tools are likely to uncover new contexts, of which the company was not aware.
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The use of NoSQL databases in the environment of financial institutions
Stejskal, Jan ; Chlapek, Dušan (advisor) ; Bruckner, Tomáš (referee)
This work deals with the use of NoSQL database systems in an environment of financial institutions. The work has several objectives: to characterize the types of NoSQL database systems, for selected systems to analyze their properties, their potential use in financial institutions to develop proposals case studies for their use, and one of them select and implement a demonstration of the possibilities of using this type of database system in the specific environment of financial institutions. These objectives are to be achieved by providing a description and analysis of the theoretical part, practical part in designing, choosing, implementation, verification and acceptance of one case study - based on acceptances criteria. In the thesis are the basic concepts of database systems explained first. It is explained in more detail the concept of NoSQL and related terms including causes and genesis, classification systems NoSQL in each category. The next part contains a comparison of the characteristics of relational database - relational systems and NoSQL database systems. The next chapter deals with the needs of financial institutions in the context of the use of database systems. There are also analyzed the properties of several selected NoSQL database systems . The next chapter is based on the analytical findings from previous chapters devoted to finding poten-tials lu use NoSQL database systems in an environment of financial institutions, which is the basic theme of the thesis . The penultimate chapter contains a suggestions of case studies, one of which is selected and a description of the results of its implementation are described in the last chapter . The main contribution of this work is a contribution to the theory of NoSQL systems and the possibili-ty of their use by financial institutions, which take into account when choosing a database system, or a combination of database systems, in practical terms can lead not only to increase the efficiency of their use, but also to optimize the acquisition and operational the costs of such systems.
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The Benefits and Risks of Deployment of Open Data in Public Administration
Smrž, Jiří ; Chlapek, Dušan (advisor) ; Kučera, Jan (referee)
This Bachelor's thesis focuses on potential benefits and risks of open data in public sector. The aim of this work is to analyze the benefits and risks, and based on them create a procedure to quantify the benefits of open data in public sector. The work is divided into four main parts. The first deals with basic terminology a reader interested in open data problematics needs to know. The second part is devoted to performing an analysis of the examined studies. Based on the conducted analysis, the particular approaches and risks are then divided into individual groups. The third part examines current approaches to determining the value of open data. I deal in more detail with BOUDICA model in this section. In the last part an approach to quantification of the benefits and risks of open data in public sector is proposed. For this I use the results obtained from the analysis of the examined studies. A part of this proposal is also a determination of recommendations that are necessary to quantify the benefits and risks of open data in public sector according to this method. The main asset of this work lies in a proposal of a potential method to quantify the benefits and risks of open data in public sector. Analysis of the benefits and risks of open data in public sector and listing many practical examples are partial benefits of this thesis.
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Market Analysis cloud solution Business Intelligence
Morc, Pavel ; Matuštík, Ondřej (advisor) ; Malinová, Ludmila (referee)
This bachelor thesis discusses the matters of market analysis cloud Business intelligence solution. This bachelor thesis is divided into a theoretical and a practical part. The theoretical section describes basic information about history and evolution of BI. The practical part contains a description of the selected players in the market of cloud-based BI solutions. After providing basic information followed by a chapter of a comprehensive analysis and positions of the players in the world market and evaluation of players on the Czech market. The second part is a questionnaire that gives information about the possibility of extending the cloud BI to smaller businesses. At the end is a summary of the results mentioned and a few trends that show where the BI is heading today.
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Application of SAP HANA
Semianiaka, Yauheni ; Novotný, Ota (advisor) ; Daněk, Lukáš (referee)
The work is dedicated to analysis of data using ICT. It is clear that the classical way of dealing with the data is not satisfactory. Therefore, the new number of tools that changing the view of working with data has occured. An example is the SAP system HANA. The main aim of this thesis is to introduce SAP HANA platform as a tool for analytical processing of large amounts of data (especially in wide area-based marketing and customer relationship management) on the example SAP Customer Engagement Intelligence. Partial aim is to acquaint the reader with the capabilities of SAP HANA in products and methods of processing large amounts of data, Big Data, implemented in HANA. The thesis is divided into two parts: theoretical and analytical. The theoretical part provides an overview of the so-called Big Data, SAP HANA and their interconnections. The analytical part of the work is focusing on a specific analysis of the use of SAP HANA in enterprises in order to highlight the advantages of using products based on HANA. The main contribution of this paper is to describe solutions based on SAP HANA platform for example Customer Engagement Intelligence. This work is intended for both the general public interested in the products of SAP and experts intending to get a basic overview of the possibilities offered by SAP HANA platform.
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Advantages and disadvantages of relational and non-relational (NoSQL) databases for analytical tasks
Klapač, Milan ; Slánský, David (advisor) ; Pour, Jan (referee)
This work focuses on NoSQL databases, their use for analytical tasks and on comparison of NoSQL databases with relational and OLAP databases. The aim is to analyse the benefits of NoSQL databases and their use for analytical purposes. The first part presents the basic principles of Business Intelligence, Data Warehousing, and Big Data. The second part deals with the key features of relational and NoSQL databases. The last part of the thesis describes the properties of four basic types of NoSQL databases, analyses their advantages, disadvantages and areas of application. The end of this part in-cludes specific examples of the use of NoSQL databases, together with the reasons for the selection of those solutions.
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