This master thesis deals with a topic of master data quality at retailers and suppliers of fast moving consumer goods. The objective is to map a flow of product master data in FMCG supply chain and identify what is the cause bad quality of the data. Emphasis is placed on analyzing a listing process of new item at retailers. Global data synchronization represents one of the tools to increase efficiency of listing process and improve master data quality. Therefore another objective is to clarify the cause of low adoption of global data synchronization at Czech market. The thesis also suggests some measures leading to better master data quality in FMCG and expansion of global data synchronization in Czech Republic. The thesis consists of theoretical and practical part. Theoretical part defines several terms and explores supply chain operation and communication. It also covers theory of data quality and its governance. Practical part is focused on objectives of the thesis. Accomplishment of those objectives is based on results of a survey among FMCG suppliers and retailers in Czech Republic. The thesis contributes to enrichment of academic literature that does not focus on master data quality in FMCG and global data synchronization very much at the moment. Retailers and suppliers of FMCG can use the results of the thesis as an inspiration to improve the quality of their master data. A few methods of achieving better data quality are introduced. The thesis has been assigned by non-profit organization GS1 Czech Republic that can use the results as one of the supporting materials for development of next global data synchronization strategy.

The thesis deals with project data boxes, which was launched in 2009. The aim of this project is electronic communication between public administration, local government and natural or legal persons. Data exchange system is one of the basic elements of e-government is used to send and receive data messages. Thanks to the legal framework of the data report elevated to the same level as registered mail with legally essential effects. The main part of the thesis, excluding the current legislation, the analysis of the recoverability of data boxes at Moore Stephens Ltd. and the proposal of appropriate software solutions for optimal utilization of the data mailbox and archive data messages. We were also examined possible system errors and any suggestions for improvement.

This diploma thesis describes information system of data boxes (ISDS). This system is characterized in terms of law about electronic operations and authorized conversion of documents no. 300/2008 commissioning the entire system. Based on statistical data provided by Ministry of the Interior, the system traffic and financial expenses are analyzed. Examined period is the start of the system in June 2009 and the end of period is October 2015. After analysis there is comparison with the period prior to launch of ISDS. Then I applied Multiple-criteria decision method on those two periods. Outcome of Multiple-criteria decision indicates that the ISDS is beneficial for users, rapidly enhances and accelerates electronic communication

This Master's thesis deals with the design and development of tools for generating a synthetic dataset for traffic analysis purposes. The first part contains a brief introduction to the vehicle detection and rendering methods. Blender and the set of scripts are used to create highly customizable training images dataset and synthetic videos from a single photograph. Great care is taken to create very realistic output, that is suitable for further processing in field of traffic analysis. Produced images and videos are automatically richly annotated. Achieved results are tested by training a sample car detector and evaluated with real life testing data. Synthetic dataset outperforms real training datasets in this comparison of the detection rate. Computational demands of the tools are evaluated as well. The final part sums up the contribution of this thesis and outlines some extensions of the tools for the future.

The aim of this work is to introduce a new type of fuzzy system AnYa. This system, unlike the classical fuzzy systems Takagi-Sugeno and Mamdani, uses a type of antecendent based on real data distribution. As part of the work there will be mentioned system programmed and its functionality will be verified on testing data.

The goal of this thesis is to produce a tool that allow fast, conclusively calculate impacts of problems caused by poor data quality. Before making the tool is necessary to be familiarize with problems related to data quality like what is data quality, how to manage data quality, how to evaluate data quality and finaly how to choose right solution. First chapter is about Data Quality and shows it in different views. There is an explanation of the Data Quality meaning there, its state in companies is shown on research done by specialized organizations. The way how to solve Data Quality mananagement through the whole company is described in chapter two, which deals with Data Governance. The third chapter explains what is a Business Case and why should a Business Case be written. Otherwise shows key elements of a Business Case and provide approach how to calculate costs and benefits of the project. The fourth chapter describes potential threat which is related with decisions and how to minimize them. The fifth chapter shows examples of problems of Data Quality in an organization. There is an attempt to find evaluation of the problem and its causes. Suggestions of potential solutions towards disponsible finacial sources is made at the end. Comparison of the quality of solutions is also done.

The goal of this thesis is to summarize and to describe all available know-how and experiences of Adastra employees related to Data Quality Audit in organization. The entire thesis should serve as a guideline for sales and implementation staff within the Adastra Corp. The first part of this thesis (chapter 2 and 3) is generally concerned with Data Quality, i.e. provides various definitions of Data Quality, points out importance/relevance of Data Quality in organization and describes the most important tools and Data Quality Management Solutions. The second part (chapter 4 and 5) uses the theoretical basis of the previous chapters and form the main methodical part of this thesis. Chapter 4 is rather focused on business/sales side, defines the most important terms and used principles, and is considered as a necessary precondition for correct understanding following chapter. Chapter 5 shows detailed procedures of Data Quality Audit. Single activities are written in a standardized form to ensure clear, accurate and brief step description. The result of this thesis is the most detailed description of Data Quality Audit in Adastra Corp. including all identified services/products.

The Evangelist Marketing of the CloverETL Software diploma thesis aims at proposing a new marketing strategy for an ETL tool - CloverETL. Theoretical part comprises chapters two and three. In chapter two, the thesis attempts to cover the ETL term, which - as a separate component of the Business Intelligence architecture - is not given much space in literature. Chapter three introduces evangelist marketing, explains its origins and best practices. Practical part involves introducing the Javlin, a.s. company and its CloverETL software product. After assessing the current marketing strategy, proposal of a new strategy follows. The new strategy is built on evangelist marketing pillars. Finally, benefits of the new approach are discussed looking at stats and data - mostly Google Analytics outputs.

eGovernment in selected municipalities of the microregion Bystřicko. Diploma thesis. Brno: Mendel University, 2016. Diploma thesis deals with the evaluation of the success of the introduction and analysis of the current situation of individual agendas of eGovernent at the munic-ipal offices of selected municipalities in microregion of Bystřicko. Based on com-paration of financial performance of electronization public government, Czech POINT analysis, data boxes and basic registers are formulated proposals and rec-ommendation at using of agendas eGovernment in small municipalities.

Enterprise Resource Planning (ERP) was developed from the fifties of the last century. Mainly used was for accounting. Another milestone was seventies when there was added functionality of material management. The biggest extensions came in the nineties when there was a significant increase of servers performance and ERP systems could be more complex. Suppliers began to develop new modules for Customer Relationship Management (CRM), analytics named Business Intelligence (BI), Warehouse Management System (WMS) and others. Expansion of Internet and secure connections began also cause of develop the Electronic Data Interchange (EDI). ERP systems are more complex so implementation of this systems are more complex too because it extends to most processes in the company. Implementation starts by selecting an ERP system in relation to the processes maps of the company. Then it is necessary to manage whole process of the implementation and write target concepts of each parts. Equally important is the data preparation and cleaning of data base for migrate to a new ERP system. After programming, editing and parameterization of the required functions and processes following phase of testing. If all goes as expected and acceptance document is approved, ERP system is prepared to productive mode.