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Data quality and its analysis in a non-bank loan company
Vránek, Pavel ; Maryška, Miloš (advisor) ; Espinoza, Felix (referee)
This bachelor thesis is focused on complex elaboration of the subject data quality from the theoretical description of working with data in an information system, through the data quality definition, description of the causes of poor quality of data and consequences, which poor data quality brings, to analyze the quality of data in the non-bank load company. For the analysis of the data quality will be first selected suitable dimensions of data quality, for which will be subsequently defined metrics. These metrics will be then measured over a real data using SQL query language and software designed for the analysis of data quality. The main contribution of this work is complex processing of data quality issues and a demonstration of the real state of data quality in the non-bank loan company. The work offers the possibility of extending the draft procedures and rules for data quality management.
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Data quality in the business information database environment
Cabalka, Martin ; Chlapek, Dušan (advisor) ; Kučera, Jan (referee)
This master thesis is concerned with the choice of suitable data quality dimensions for a particular database of economy information and proposes and implements metrics for its assessment. The aim of this paper is to define the term data quality in the context of economy information database and possible ways to measure it. Based on dimensions suitable to observe, a list of metrics was created and subsequently implemented in SQL query language, alternatively in a procedural extension Transact SQL. These metrics were also tested with the use of real data and the results were provided with a commentary. The main asset of this work is its complex processing of the data quality topic, from theoretical term definition to particular implementation of individual metrics. Finally, this study offers a variety of both theoretical and practical directions fort this issue to be further researched.
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Data quality on the context of open and linked data
Tomčová, Lucie ; Chlapek, Dušan (advisor) ; Kučera, Jan (referee)
The master thesis deals with data quality in the context of open and linked data. One of the goals is to define specifics of data quality in this context. The specifics are perceived mainly with orientation to data quality dimensions (i. e. data characteristics which we study in data quality) and possibilities of their measurement. The thesis also defines the effect on data quality that is connected with data transformation to linked data; the effect if defined with consideration to possible risks and benefits that can influence data quality. The list of metrics verified on real data (open linked data published by government institution) is composed for the data quality dimensions that are considered to be relevant in context of open and linked data. The thesis points to the need of recognition of differences that are specific in this context when assessing and managing data quality. At the same time, it offers possibilities for further study of this question and it presents subsequent directions for both theoretical and practical evolution of the topic.
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