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Data governance system implementation
Szentkirályi, Denis ; Martin,, Šťastný (referee) ; Sedlák, Petr (advisor)
The diploma thesis focuses on the issue of data governance. The aim of the thesis is to evaluate the current state of data governance in the selected company and to implement a data governance system that will lead to an improvement of the current situation. The current state of the company is analysed using Gap Analysis and Maturity Assessment and based on their results, the implementation of a data governance system is proposed that reflects the specific requirements of the company and is in line with best practices.
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Models of data flow governance and their followers: Why do countries adopt one framework over another?
Dubravčíková, Klára ; Parízek, Michal (advisor) ; Mazač, Jan (referee)
DUBRAVČÍKOVÁ, Klára. Models of cross-border data flow governance and their followers: Why do countries adopt one framework over another? Praha, 2022. 119 pages. Master's thesis (Mgr.). Charles University, Faculty of Social Sciences, Institute of Political Science. Department of International Relations. Supervisors Dr. rer. pol. Michal Parízek, M.Sc., Ph.D. & Junprof. Dr. Jan Vogler. Abstract Currently, there are three different regulatory models of cross-border data flow, produced by three dominant actors in the international system - the United States of America, the European Union, and the People's Republic of China. As all three actively convey their model to other countries, posing new challenges to the global economy associated with the models' incompatibility, other countries face a policy-choice dilemma on what model to adopt. Consequently, the issue of mapping how the three approaches to data governance spread across the globe and exploring the rationales of states that adopt one of the three models arises. The thesis turns to this question and uses logistic regression analysis to find a correlation between the adoption of a specific cross-border data flow governance model and three sets of predictors that characterise the economic, social, and power relations between proponent-adopter pairs....
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Metadata integration in data warehouse
Volf, Karel ; Matějka, Martin (advisor) ; Novotný, Ota (referee)
This diploma thesis aim at the implementation of metadata in the context of data warehouses and Business Intelligence. Metadata can provide significant benefits to the organization, help address regulatory requirements, and increase the use of BI tools to prevent user denial. The main goals of the diploma thesis are the metadata integration according to the theoretical knowledge from the first part of this thesis and the practical implementation of the solution of consolidating business and technical metadata in the second part of the thesis. The first chapter defines the goals of the work and the expected benefits. The second chapter defines the concept of metadata, types and standards. Chapter three provide metadata context in the perspective of company's data governance, and summarize an analytical market for metadata and data integration tools. The fourth chapter evaluates the usability of metadata based on research on the subject. The fifth chapter describes one of the possible metadata integration solutions according to the theoretical knowledge summarized in the preceding chapters. The sixth chapter summarizes the practical experience of implementing the solution into the insurance company BI environment. The main contribution of the thesis is the description of implementation of the real solution and its evaluation.
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Big Data Governance
Blahová, Leontýna ; Pejčoch, David (advisor) ; Kyjonka, Vladimír (referee)
This master thesis is about Big Data Governance and about software, which is used for this purposes. Because Big Data are huge opportunity and also risk, I wanted to map products which can be easily use for Data Quality and Big Data Governance in one platform. This thesis is not only on theoretical knowledge level, but also evaluates five key products (from my point of view). I defined requirements for every kind of domain and then I set up the weights and points. The main objective is to evaluate software capabilities and compere them.
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The analysis and optimization of the creation of a management report in a financial institution
Dlouhý, Radim ; Říhová, Zora (advisor) ; Belko, Michal (referee)
This masters thesis tackles the issue of process management in a financial institution, spe-cifically the analysis and optimization of the creation of a certain management report. The first part of this masters thesis is dedicated towards explaining basic theoretical concepts, which will help the reader correctly understand the rest of the paper. There you can find explained the principles of reporting and process management, which will introduce the reader to the issues of processes, their analysis and subsequent optimization. The practical portion first introduces the reader to the particular financial institution, then it describes the organization structure and the activities of data governance, thorough analysis of the particular process, the identification of and a suggestion of optimization which should lead to a more effectively working employees as well as the elimination of narrow places of the process. The conclusion of the masters thesis introduces steps of real implementation of the suggested solutions.
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Data governance implementation concept
Ullrichová, Jana ; Oškrdal, Václav (advisor) ; Eder, Tomáš (referee)
This master´s thesis discusses concept of implementation for data governance. The theoretical part of this thesis is about data governance. It explains why data are important for company, describes definitoons of data governance, its history, its components, its principles and processes and fitting in company. Theoretical part is amended with examples of data governance failures and banking specifics. The main goal of this thesis is to create a concept for implementing data governance and its implementation in real company. That is what practical part consists of.
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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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Data Governance implementation
Zosinčuk, Dominik ; Doucek, Petr (advisor) ; Oškrdal, Václav (referee)
Topic of this thesis is the Data Governance implementation in the large companies. These companies struggle during governing and managing data to get useful insights for the decision making. Data Governance is new approach to managing the companies which helps to solve the data management pain points and helps organizations to work with data effectively and without any problems. Data Governance helps to transform data into asset. This thesis is divided into theoretical and practical part. In the theoretical part are discussed reasons for emerging Data Governance, analysis of approaches to Data Governance by world leading methodologies and possible focus of the Data Governance projects as well as its benefits. Important part of this theoretical part is Data Governance components definition. Implementation of the Data Governance is discussed in the practical part. The goal of the practical part is to describe required artifacts which should exist during the implementation. Described artifacts use the best practice from the existing literature. These deliverables will help to better structure, govern and successfully implement the Data Governance. Delivering these artifacts bring the value for the company. Each project deliverable has definitions of the importance for the project team and the company. Most important benefit of the practical part is aspiration to eliminate pain points during the Data Governance implementation as appropriate project team, cooperation definition, buy-in and deliverables.
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Profession roles connected by data management
Hamšík, Marek ; Vacek, Martin (advisor) ; Pour, Jan (referee)
In my thesis I focus on the processing of bussiness data, which is referred to as Data governance. It is an area of data management, which is still in development and is not yet understood as a common and standard way to handle bussiness data. In the introduction of the thesis, I define what DG is and how it can be seen from different angles: both from the perspective of people, and from the perspective of the benefits it has for the company. I also deal with the fundamental roles that are defined within the DG and, according to the literature are important to its functioning. Then I focus on the issue of phases definitions, which are important for the implementation of DG into the company from the point of view of both Czech and foreign literature. In the practical part of my thesis I focus on surveys conducted by IBM, SAS, Rand Worlwide and Dataversity and based on the results of these surveys I examine the situation of DG in various companies and in different sectors. In the last part, I focuse on success factors of DG, both in terms of the results of the surveys, as well as from the experience of an expert on the issue of DG Joy. L. Medved.
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Client data quality management
Vacek, Martin ; Slánský, David (advisor) ; Pour, Jan (referee)
There are series of competition battles emerging in present day while companies are recovering from last economic crisis. These battles are for customers. Take financial market for example -- it's quite saturated. Most of people do have some financial product since their birth date. Each one of us has insurance and most of us have at least standard banking account. It is imperative that insurance companies, banks and such firms have needed information about ourselves, for us to be allowed the use of these products. As the time passes we change the settings of these products, we change products themselves, buy new ones, set their portfolios, go to competition, even employees and financial advisors who take care of us do change over time. All of the above means new data (or a change, to say at least). Our every action specified leaves a digital footprint in the information systems of financial services providers who then try to process these data and use them to raise the profit using various methods. From the individual company's point of view is customer (in this case a person who has at least one product historically) unfortunately tracked multiple times due to the above changes, so this person actually seems like multiple persons instead of one. There are many reasons behind this and they are well known in common practice (Many of them are named in theoretical part). One of the main reasons for this is a fact that data quality was not a priority in past. However, this is not the case of present day and one of the success factors when it comes to spoiling client base portfolio is the level of quality of information that are tracked by companies. Several methodologies for data quality governance are being created and defined nowadays, although there is still lack of knowledge of their implementation (not just in the local Czech market). These experiences are well prized but most of internal IT departments are facing lack of knowledge and capacity dispositions. This is where great opportunity emerges for companies that use accumulated know-how from various projects that are not quite frequent in individual firms. One of such company is KPMG, Czech republic, LLC., thanks to which this work was created. So, what is the purpose and field of knowledge that is covered on the pages following? The purpose is to describe one such project concerning analysis and implementation of chosen tools and methodologies of data quality in real company. Main output is represented by a supporting framework as well as a tool that will help managers cease administration and difficulties when managing projects that concern data quality.
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