National Repository of Grey Literature 30 records found  beginprevious21 - 30  jump to record: Search took 0.01 seconds. 
Data Quality Audit Methodology
Kotek, Aleš ; Slánský, David (advisor) ; Pour, Jan (referee)
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.
Framework for Data quality assessment
Šíp, Libor ; Slánský, David (advisor) ; Pour, Jan (referee)
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.
Visualization of Data Quality in Business Intelligence
Pohořelý, Radovan ; Pour, Jan (advisor) ; Zajíc, Ján (referee)
This thesis deals with the area of Business Intelligence and especially the part of data quality. The goal is provide an overview of data quality issue and possible ways the data can be shown to have better and more engaging informative value. Another goal was to make a proposal solution to the visualization of the system state, particularly the section of data quality, at the concrete enterprise. The output of this thesis should provide a quideline for the implementation of the proposed solution.
Data Governance - The implementation project concept
Kmoch, Václav ; Svatá, Vlasta (advisor) ; Kalina, Jaroslav (referee)
Companies in these days deal with underlying issue that concerns about questions how to manage volume growth of corporate data needed to decision making processes and how to control credibility and relevance of derived information and knowledge. Other questions deal with problem of responsibility and data security that represents potential risk of information outflow. The Data Governance concepts provide comprehensive answer to these questions. However, making a decision on implementing a Data Governance program is usually triggering many other problems like setting up environments, making determination of project scope, allocating capacity of data experts and finding one's way in non-uniform Data Governance concepts offered by various IT vendors. The aim of this thesis is to draw the unified and universal implementation process that helps with setting up DG projects and makes certain conception about how to run these projects step-by-step. The first and the second part of the thesis are dedicated to describe principles, components and tools of Data Governance and also methods of measuring data quality levels. The third part is offering concrete approach for successful implementation of Data Governance conception into corporate data environment.
Data Quality And Tools For Its Management
Tezzelová, Jana ; Pour, Jan (advisor) ; Polášek, Marek (referee)
This diploma thesis deals with data quality, with emphasis on issues of management and on tools which were developed for solving data quality issues. The goal of this work is to summarize knowledge about data quality problems which includes its evaluation, management, description of key problems in data and possibilities of their solutions. The aims of this thesis are among others also analysis of market of software tools for support and management of data quality and mainly comparison of functionalities and possibilities of several of those tools. This work is split into two consequential parts. The first theoretical part is focusing on opening to problems of data quality and mainly data quality management, including identification of main steps for successful management. The second practical part is focusing on the market with data quality tools, especially its characteristics, segmentation, evolution, current state and expectable trends. The important section of this part is also practical comparison of features and evaluation of the work with several data quality tools. This work aims to be beneficial for all the audience interested in data quality problems, especially its management and supporting technology. Thanks to focusing on data quality tools market and tools comparison this work could be also useful guide for companies which are currently choosing the proper tool for introducing the data quality. Regarding this work focus the readers are expected to have at least basic orientation in Business Intelligence.
Data Quality, Data intagrity and Data Consolidation in BI
Smolík, Ondřej ; Pour, Jan (advisor) ; Zajíc, Ján (referee)
This thesis fights with the data quality in business intelligence. We present basic principles for building data warehouse to achieve the highest data quality. We also present some data clearing methods as deviation detection or name-address clearing. This work also deals with origin of erroneous data and prevention of their generation. In second part of this thesis we show presented methods and principles on real example of data warehouse and we suggest how to get sales data from our business partners or customers.
Data quality, data integrity and consolidation of data in BI
Dražil, Michal ; Pour, Jan (advisor) ; Zajíc, Ján (referee)
This thesis deals with the areas of enterprise data quality, data integrity and data consolidation from the perspective of Business Intelligence (BI), which is currently experiencing significant growth. The aim of this thesis is to provide a comprehensive view of the data quality in terms of BI, to analyze problems in the area of data quality control and to propose options to address them. Moreover, the thesis aims to analyze and assess the features of specialized software tools for data quality. Last but not least aim of this thesis is to identify the critical success factors in the field of data quality in CRM and BI projects. The thesis is divided into two parts. The first (theoretical) part deals with data quality, data integrity and consolidation of data in relation to BI trying to identify key issues, which are related to these areas. The second (practical) part of the thesis deals at first with the features of software tools for data quality and offers their fundamental summary as well as the tools breakdown. This part also provides basic comparison of the few selected software products specialized at the corporate data quality assurance. The practical part hereafter describes addressing the data quality within the specific BI/CRM project conducted by Clever Decision Ltd. This thesis is intended primarily for BI and data quality experts, as well as the others who are interested in these disciplines. The main contribution of this thesis is that it provides comprehensive view not only of data quality itself, but also deals with the issues that are directly related to the corporate data quality assurance. This thesis can serve as a sort of guidance for one of the first implementation phases in the BI projects, which deals with the data integration, data consolidation and solving problems in the area of data quality.
The influence of etalons on the data qualitiy in companies
Bukovský, Radim ; Slánský, David (advisor) ; Pour, Jan (referee)
This thesis is dedicated to all persons who are interested in information of the data quality (especially the Data Cleansing). Everyone who wants to get to know more about etalons, the essential part of the data quality, is welcomed. The insight into everyday activities of people working not only on creating and administrating of etalons but also implementing them on particular projects is prepared for everyone. The reader will also gain detailed knowledge of how etalons could help companies with decreasing their costs and how etalons can make better impression to company's clients through the data quality.
Data Governance Implementing Method
Slouková, Anna ; Slánský, David (advisor) ; Pour, Jan (referee)
This thesis refers to Data Governance issue and the way of implementing this program. It is logically devided into two parts -- theoretical and practical one. The teoretical part represented by first chapter summarises actual findings about the Data Governance program, it explains what is hidden behind the term Data Governance, cause for Data Governance initiatives emergence, it itemizes particular parts of which the program is composed and basic, mostly software tools, that are necessary for successful program run. Practical part consists of second and third chapter. The second chapter contains enumeration of various types of outputs that grow up either during the implementation of program or in its run itself. It categorizes and deals in detail with processes and activities, organizational structure of the program, dokuments, used metrics and KPIs and IS/IT tools. Third chapter describes the process of implementing the program into an enterprise in detail. It is devided into four consequential phases -- assessment of current state, design, implementation and run of the program. In every chapter, there are inputs, outputs, detailed decomposition into particular activities with references to document tepmlates that are used during theese activities, risks and resources introduced. In two attachments of this thesis, there are two helpful documents -- general document teplate and teplate of a role description -- that serve to better implementation of Data Governance program.
Data Governance
Procházka, Martin ; Slánský, David (advisor) ; Pour, Jan (referee)
Data Governance představuje nový směr v řízení dat ve společnosti, který přistupuje k datům jako k podnikovým aktivům. Tato bakalářská práce je zaměřena na popis programu Data Governance a jeho základních komponent. Cílem práce je charakteristika tohoto způsobu řízení dat a srovnání přístupů vybraných systémových integrátorů. Výstupem práce bude přehled těchto přístupů a vymezení jejich odlišností. V první části popisuji principy Data Gevernance a jeho základní komponenty. Další kapitola se věnuje organizační struktuře tohoto programu a jeho rolím. Třetí a čtvrtá kapitola rozebírá technické aspekty programu, které představují metadata a nástroje. V páté kapitole stručně popisuji implementaci a její fáze. Na závěr představím vybrané přístupy k Data Governance a popíšu jejich odlišnosti.

National Repository of Grey Literature : 30 records found   beginprevious21 - 30  jump to record:
Interested in being notified about new results for this query?
Subscribe to the RSS feed.