This thesis is focused on the design of Business Intelligence solution to the logistics sector. Its main goal is to enable the unnamed central-bohemian company, which deals with truck road transportation, to follow up and evaluate its data better. The theoretical part is focused on the basic principles of Business Intelligence and on the analysis of current market situation. The next section is dedicated to the specifics of this problematic in the logistics field. The practical part deals with the design of Business Intelligence solution to the concrete company. The analysis of company preparedness for Business Intelligence and the specification of requirements on its solution precede the resultant reporting tool. There is the unification of company's data in the form of data warehouse and the design of individual indexes and dimensions, from whose point of view data will be monitored. The main benefit of this thesis is resultant solution in the form of reporting tool, which can company, that is not familiar with the problematic of Business Intelligence, use as its future advantage.

This master's thesis deals with the topic of designing an agile methodology for Business Intelligence projects. The thesis presents the topic of Business Intelligence, methodologies for managing projects and methodologies for data warehouse development. It presents Scrum, BEAM* and Data Vault methodologies as well as approaches like pomodoro, Action Centered Leadership and a 40-hour work week. Based on synthesis of presented methodologies and approaches this thesis defines the methodology for managing Business Intelligence projects. The newly designed methodology HooBI is a minimal methodology for agile management of Business Intelligence projects based on data warehouse, containing Business Intelligence elements and approaches for effective work. The usage of methodology is double verified; firstly, by comparison of managing a completed past project with its alternative of eventual usage of the designed methodology HooBI, secondly by expert review. The Methodology should simplify the development and management of Business Intelligence projects and can be used by professionals in the field of Business Intelligence.

Main goal of this master thesis is to create Management Information System for company Dolphin consulting, s.r.o. based on technologies available within its infrastructure. Next goal is conduct preliminary verification of the created Management Information System. Generally, the Management Information System is created in accordance with resources including but not limited to Business Intelligence, Management Information Systems literature and experiences of the author. The most important assets of this thesis are creating of the system for Dolphin consulting, s.r.o. and initial verification of created system for its further development and highlight issues that arise. This master thesis is divided into two logical parts. The first part is purely theoretical and describes the issues of data warehousing according to Kimball and Inmon, OLAP Cubes and Management Information Systems. Practical part of thesis describes implementation of Business Intelligence tools as a part of created Management Information System in company Dolphin consulting, s.r.o. At the end of this part is the above stated preliminary verification of the Management Information System with list of recommendations for improving the system.

This thesis deals with transformation of network data reporting process in a Telecom company. The current process is MS Excel based and is inadequate and inefficient. The goal is to find the right tools and to implement them. The thesis is divided into three parts. First part is focused on theoretical background of reporting, i.e. Business Intelligence and other approaches. Second part explains general Network reporting principles and trends. In contrast with these theoretical recommendations, the actual level of the company's process is depicted. The last part of this thesis covers a practical implementation of selected applications. First, a choice is made within a variety of tools based on department's needs then the architecture is proposed and applications are implemented. The final part of the thesis provides an assessment of the benefits attained by this project.

This diploma thesis deals with the implementation of Business Intelligence in small and medium-sized companies and furthermore focuses on an agile project management and introduces possibilities for this approach. The aim of the project is to present an agile methodology of Business Intelligence implementation and comparison of processes of a real project with the procedures proposed in this methodology and eventually propose improvements. The thesis is divided into three main parts. The first part is an introduction to the theory, in which the concept of Business Intelligence is introduced and important terms as transactional and analytical systems, data warehouse, data mart, etc. are described, being followed by research of previous works focused on Business Intelligence implementation. The introduction to the theory is closed with introducing CRISP-DM methodology for SMEs and agile methodologies as Scrum and Extreme Programming. The objectives of the thesis and some sub-goals are achieved through the analysis of the agile methodology "Agile Data Warehousing for Business Intelligence implementation" in the second part of the thesis. The final main section is a comparison with a real project, in which certain improvements are also proposed for future use. The benefit of this thesis is especially the unusual view at the implementation of Business Intelligence through agile approach and proposed methods for future use in small and medium-sized companies. The benefits are also described particularly for business companies in the area of financial advice.

This work is focused on the workload management of data warehouses based on Teradata technologies using Active System Management architecture. Objectives of this work are to characterize and analyze Active System Management architecture and types of rules, used in the workload management of Teradata data warehouses. These objectives have been achieved by a search of available resources and their subsequent analysis. Informations obtained from the analysis were empirically verified on a particular instance of a data warehouse and their synthesis is presented in this work The contributions of this work are in the documentation of technology that is currently not well known and widespread in the Czech Republic. Another contribution is identification of risks, drawbacks and presentation of recommendations in the workload management using Active System Management based on empirical tests. The repeatable implementation procedure based on induction has been proposed in the work. Maturity of the architecture for a production environment is evaluated. The work is hierarchically divided into several chapters that are dedicated to Teradata database technologies, workload management, Active System Management and implementation procedure. The first three chapters are focused on theory, however, they also contain practical informations related to the processed theory. The latter chapter is focused practically, therein is designed a repeatable Active System Management architecture implementation procedure.

The business data could be considered as the raw material for decision-making process, for the development of corporate strategies and overall running of the business. Therefore, adequate attention should be paid to quality of the data. The main goal of the diploma thesis is elaboration of a specific framework for data quality assurance, which combines three theoretical concepts: time series analysis, data screening and data profiling -- business-specific data profiles are monitored by data screening during the data warehouse ETL (extract, transform and load) process and results are afterwards compared with the values predicted by time series analysis. Achievement of this goal is based on the analysis of "data quality" in literature, exact problem definition and selection of appropriate means for its solution. Moreover, the thesis is analysing alternative solutions available on the market and comparing their functionality with the functionality of own framework, as well.

The thesis focuses mainly on OLAP technology and its tools using to analyze corporate data. One of the objectives is to define the analytical tools market and provide an overview which shows the current situation concerning those tools on Business Intelligence (BI) market. Another objective is to obtain an overview of some current and future trends in the BI market. The main purpose of the thesis is to create a "methodology" for solving an BI analytical tasks using analytical services in SQL Server 2008 R2 from Microsoft. To achieve these objectives a theoretical analysis of available resources and, in particular consultation with employees of Clever Decision company is used. The main contribution of this work is the development of analytical database itself, which is divided into separate phases where each phase contains best practices and recommendations, including examples.

Main objective of the theses is pilot solution for implementations of Business Intelligence in to the Business company. The company is selling gastronomic appliances and realizes complete functioning of public alimentation , including services. The theses is devided in two parts. First part is theoretical summary of methods Balanced Scorecard and Business Intelligence. Theoretical part includes the chapter which explain operation and possibilities of Business Intelligent in small companies. The second part is practical solution, where is in the beginning introduction of the company. In the following chapters the main objective is to establish the key indicators in chosen company by using method of strategic operation of Balanced Scorecard. Next is to create strategic map, which make model for company behavior and model for usage of outputs in the course of real implementation of Business Intelligence.

The main goal of this diploma thesis is to provide advice and recommendations to increase the effectiveness of Business Intelligence using Oracle database. More specifically, the focus of the thesis is the optimization of ETL processes and objects in a data warehouse. Tests to compare different optimization techniques are performed to meet the defined goal. These tests are based on common tasks solved in data warehouses on daily basis. Tests are also supported by publications of leading authors in Oracle environment. The second goal of this work is the implementation of appropriate optimization techniques to real ETL pro-cess in order to increase its effectiveness. Performance changes are compared and measured using metrics defined for the ETL process and requirements from client. Optimization techniques presented for main objectives are used to achieve the second objective. Contri-bution of the thesis is to show the most important optimization techniques and tips that every developer should know and be able to use effectively. Another added value is au-thor's practical experiences in real data warehouse environment.