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Business Intelligence Solutions
Dzimko, Miroslav ; Achimský,, Karol (referee) ; Kříž, Jiří (advisor)
Diploma thesis presents an evaluation of the current state of the company system, identification of critical areas and areas suitable for improvement. Based on the theoretical knowledge and analysis results, commercial Business Intelligence software is designed to enhance the quality and efficiency of the company's decision-support system and the introduction of an advanced Quality Culture system. The thesis reveals critical locations in the corporate environment and opens up space to design improvements to the system.
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Factors influencing customer profitability: an empirical examination in noncontractual settings
Hanuska, Norbert ; Kyjonka, Vladimír (advisor) ; Král, Jaroslav (referee)
Understanding of how to manage relationships with customers has become an important topic for both academic and practitioners in recent years. The effectiveness of business can be greatly improved by identifying the drivers of the most profitable customers and using them to target the right customers. In this study we identify exchange characteristics such as amount of money spent per purchase, customer relationship duration with firm, ratio of cross-buying and demographic characteristics such as age and gender as important drivers of the most profitable customers. The results of the study have important implications for academicians in understanding what drives the most profitable customers in noncotractual settings as well as practitioners to help design more effective marketing strategies. Moreover, the results of knowledge discovery about customers by different data mining techniques also contribute to help researchers identifying feasibility of these methods. Powered by TCPDF (www.tcpdf.org)
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Proposal and application of model for testing DWH implementation on Teradata platform
Lysáček, Jakub ; Matuštík, Ondřej (advisor) ; Meixner, Jiří (referee)
The thesis focuses on application of theory of software testing in data warehousing area. The main goal of the thesis is an introduction of selected theory of software testing and analogical use of the theory in data warehousing environment. Part of the main goal is an introduction of architectonic model of testing process and later on focusing on part of testing which is problematic in data warehousing area. Partial goal of the thesis is validation of problematic part of the model using practical scenario. This partial goal is divided into two parts. First part focuses on requirements gathering and categorizing their priority. Second part focuses on demonstrating how project requirements, available resources and Teradata specific environment manipulate with the testing process. Theoretical part summarizes selected theory of software testing which is later applied in the area of data warehouse testing. The chapter introduces phases of data warehouse testing and specific goals of each testing phase. Chapter also describes model FURPS which is used to classify software quality dimensions a selected methods of requirements priority classification. An architectural model of testing process and its entities are described in the second part of theory. The theory then focuses on problematic part of the model which is requirements gathering and classification of their priority and demonstrates the influence of time, quality requirements and available resources on the overall process of testing. Practical part introduces a real-life scenario which demonstrates an application of described theory, namely requirements gathering, classification of requirements priorities and assigning dimensions of quality. The next part demonstrates the influence of available resources and requirements on the scope of testing. The outcome of the practical part of the thesis is that requirements gathering and classification of their priorities allows us to classify and sort scope of testing into logical and clear units, assign roles and their responsibilities and flexibly react on changes of project requirements. The thesis also points out that there are risks associated with changes of scope and emphasizes on the need of their evaluation.
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Factors influencing customer profitability: an empirical examination in noncontractual settings
Hanuska, Norbert ; Kyjonka, Vladimír (advisor) ; Král, Jaroslav (referee)
Understanding of how to manage relationships with customers has become an important topic for both academic and practitioners in recent years. The effectiveness of business can be greatly improved by identifying the drivers of the most profitable customers and using them to target the right customers. In this study we identify exchange characteristics such as amount of money spent per purchase, customer relationship duration with firm, ratio of cross-buying and demographic characteristics such as age and gender as important drivers of the most profitable customers. The results of the study have important implications for academicians in understanding what drives the most profitable customers in noncotractual settings as well as practitioners to help design more effective marketing strategies. Moreover, the results of knowledge discovery about customers by different data mining techniques also contribute to help researchers identifying feasibility of these methods. Powered by TCPDF (www.tcpdf.org)
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Business Intelligence Solutions
Dzimko, Miroslav ; Achimský,, Karol (referee) ; Kříž, Jiří (advisor)
Diploma thesis presents an evaluation of the current state of the company system, identification of critical areas and areas suitable for improvement. Based on the theoretical knowledge and analysis results, commercial Business Intelligence software is designed to enhance the quality and efficiency of the company's decision-support system and the introduction of an advanced Quality Culture system. The thesis reveals critical locations in the corporate environment and opens up space to design improvements to the system.
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Evolution and value ob Business Intelligence in the period of economic crisis
Prchlík, Tomáš ; Slánský, David (advisor) ; Pour, Jan (referee)
The goal of this thesis is to create a comprehensive overview of how the economic crisis influenced the business intelligence market. The introduction is dedicated to the general principles of the business intelligence technologies. It is followed by analysis and identification of the commercial sector's problems associated with the recent economic decline as well as shortcomings that the corporate executives commit in the times of economic growth, and a proposal of solutions to these problems using Business Intelligence applications. The next part of the work is focused on the global analysis of benefits of the solutions and their future development. The final part of the thesis serves as an argument to highlight the importance of BI and is demonstrated on several examples of successful BI implementations in various businesses operating in different sectors. The thesis aims not only to analyze and document the development and changes in the understanding of Business Intelligence during the economic crisis but it should also motivate potential readers from among the management to consider whether they should also support the acquisition of BI in their businesses. This document should prove that if they invest in Business Intelligence in times of crisis then they might not need to implement unpopular solutions to their problems. The relevance of this subject is only underscored by the fact that unless the development of the world economy improves its current course, we might find ourselves at the beginning of another, perhaps even more significant crisis. The appendix summarizes the BI applications' inputs, different processing and information analysis methods, and the possibility of using their outputs to improve the operation of the enterprise.
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Architecture of banking data warehouse
Bureš, Petr ; Pour, Jan (advisor) ; Meixner, Jiří (referee)
The thesis deals with banking data warehouse and the factors which influence their architecture. The goal of the thesis is to analyze the influence by fulfilling the three partial goals -- defining banks' requirements on data warehouses, analyzing a data warehouse in the real banking environment and making a comparison of the Czech banks' data warehouses. First, the thesis briefly introduces elements of business intelligence (BI) and data warehousing. Second, after deducing reasons for BI implementation in commercial banks, the requirements on data warehouse are synthesized and their impacts on the data warehouse architecture are analyzed. Finally, conclusions of the thesis are applied on creation of the survey which enables comparison of the Czech banks' data warehouses. The thesis applies the theory of relationship between BI maturity, requirements on BI and data warehouse architecture and creates a tool for evaluating and comparing the data warehouses of banks with respect to bank's BI maturity and predisposition for a particular architecture. The tool can serve as a basis for a general tool able to compare data warehouses in other branches of economy and can help to better understand relations between organizations' need for information, BI solutions used and underlying data warehouses.
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Implementation of Business Intelligence in building industry
Melichar, Jan ; Novotný, Ota (advisor)
Diploma thesis is focused on the strategic performance management and Business Intelligence domain. Main objectives of the thesis are to define strategic goals of building enterprise by help of the Balanced Scorecard (BSC) concept and to assign specific metrics to these strategic goals. Another objective of this work is to design Business Intelligence (BI) implementation which means building a data warehouse upon company data, multidimensional cubes and user-defined reports. Initial theoretical principles are described in the first part of this work in which main issues of strategic performance management, BSC concept and BI domain are specified. In the practical part the strategic goals and specific metrics of building enterprise are defined. The output of this chapter is an overall strategic map containing strategic goals with assigned metrics and also comments describing mutual relationships of these goals. Next chapter deals with building a data warehouse upon company data, multidimensional cubes and user-defined reports with measured values interpretation. Contribution of the thesis consists in the enterprise management model upon BSC concept which helps specify strategic goals and also the design of BI implementation which should simplify monitoring of these strategic goals by the help of the metrics specified. Another contribution for building industry enterprise management can be an overview of main BI technologies and the ways and means of its practical application.
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