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.

Theoretical part of my diploma thesis discusses virtualization. In virtualization is mentioned history of virtualization and best practices. Except acquaintance with the company Joyful Craftsmen, the reader is getting familiar with the given problem, which resulted from the analysis of cooperation with overseas customers. The given problem is core for practical part of diploma thesis. I created virtual laboratory for the development of Business Intelligence solutions with virtualization platform Hyper-V. This virtual laboratory is solution for the given problem. In the diploma thesis, the reader can read about what tools are installed and configured on individual virtual machines. In the thesis are mentioned problems and problem solving that I encountered while configuration various tools. The final solution I tested according to test defined in acceptance criteria.

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 the design of the pilot Business Intelligence solution for e-commerce platform Shopio. The first part describes the theoretical concepts of Business Intelligence and e-commerce focused on possible approaches to performance measurement of electronic commerce. Furthermore there is a comparison of analytical tools for measuring performance of e-shops which are available on the Czech market. The second part of the thesis first describes the e-commerce platform and the current status of the reporting module. Then the requirement analysis is conducted for the purpose of identifying the current company client's needs and requirements. The new Business Intelligence solution is designed based on the identified requirements described in the previous chapters. This solution is then tested and verified with the use of real e-shop data. The main purpose of this thesis is to refine the current status of the reports and provide a better tool to measure the e-shop performance for the e-shop owners.

The main goal of master thesis is to analyze and propose possible low cost Business Intelligence solution with open source technologies and comparison of available tools for implementation in middle size company. We compare Pentaho and Jaspersoft tools implemented on local hardware and cloud environment with Microsoft Azure services. The theoretical part focuses mainly on understanding the business intelligence and its architecture, because architecture is an important part of the work. Actual tools are designed as stand alone modules for specific activities in the business intelligence lifecycle. Low cost tools are often connected with open source technologies and cloud computing. This part of the work contains explanation of these terms and their advantages and disadvantages for our chosen target group of companies. The analytical part includes defined parameters by which it is conducted analysis of tools and their comparison. Business Intelligence solutions are divided according to arcitectural layers. The evaluation criteria are divided into financial, technical and user category. In conclusion, chosen tools are compared and evaluated. The main contribution of this thesis is comparison of open source business intelligence tools for implementation in middle size company. According to the EU directive, middle size company does not exceed 250 employees or profit is less than 50 million euros. The reader can compare the different solutions and their pitfalls or shortcomings that could be critical for the implementation.

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 master thesis is devoted to a design for methodology of BI projects in QlikView. The main aim is to propose a recommended procedure solutions reflecting the strengths and weaknesses in the development of QlikView applications. Accompanying chapter to the discussed issue is a chapter Business Intelligence which explains the principles, characteristics and reasons for implementation in companies. Part of defining the differences between traditional and self-service solutions serves as a theoretical basis for understanding the increasing attractiveness of self-service solutions and environment of the proposed methodology. The next chapter presents the company Qlik as a market leader in BI and the owner of QlikView. The reasons for its establishment, subsequent development and actual vision are listed to create a comprehensive view of the environment where the described product was created. Along with the chapter focusing on characteristics and main advantages of QlikView a knowledge base is established for the implementation of proposed methodology. Crucial chapter of this thesis is based on the author's experience gained while implementing QlikView projects. The proposed methodology is based on the description of each phase, its activities, inputs and outputs and its concrete application in a demo environment for the area of receivables in manufacturing company. The key contribution of the author is pointing out potential problems during development or warning about critical parts or providing appropriate recommendations and benefits of the proposed procedures. The designed methodology can serve as a useful guide for self-service projects implemented the QlikView environment.

The thesis deals with problematics of tools marked as Self Service Business Intelligence (SSBI) which is paid close attention by its users as well as producers due to expected progressive growth of this trend. Two products are evaluated: SAS Visual Analytics and IBM Cognos Analytics, both tools are evaluated by their extent of user´s autonomy and support of data visualization. Basic principles and concepts connected to the area of business intelligence are defined in theoretical part of the thesis. The problematics of data visualization is introduced and trend of self-service business intelligence is discussed with analyzing its benefits as well as restrictions. Technological factors which helped to fast development of SSBI are mentioned as well. A methodology has been created within practical part of the thesis. It is enforceable for any other tool from the family of SSBI and it is possible to assess the extent of support within observed categories through this methodology: Using information, Creation of information, Creation of sources and Visualization. A set of criteria on basis of which the evaluator can create evaluation form corresponding to his/her needs was defined for each of the stated categories. Usability of the methodology is illustratively demonstrated at mutual comparison of chosen modules of both tools while those parts are sufficiently described before the evaluation itself.

M.Tech. / Business Intelligence (BI) is a method used to improve on business decision-making, using collections of software applications and tools to view historical, current and predictive operations of a business. However, a company‟s BI solution will not be successful if it is not implemented in a comprehensive and strategic manner. There are three key issues that prevent organisations from benefiting from BI systems. These issues include the lack of pervasiveness of BI systems, managing a variety of non-related systems that do not work well together and using traditional methods that have not evolved to meet organisational needs (Koehler, 2008). BI vendors misinform many business users that BI tools are usable by all users in an organisation, and end up been too complex for the average user to use. The first mistake an organisation makes when assessing a BI system is neglecting to include business users on selecting the best option, although they will be the main users of the solution (Quinn, 2007). Many Information Technology (IT) departments ask for BI systems based on the assumption that once it is built, that users will automatically see the benefits. BI applications require a clear and intimate understanding of the business itself and it is only by working on business and IT issues in tandem that the real value of BI is realised (Hostmann, 2007).

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.