Business Intelligence (BI) applications are consulted by their users on a daily basis. BI information obtained assist users to make business decisions and allow for a deeper understanding of the business and its driving forces. In a mining environment companies need to derive maximum benefit from BI applications, therefore these applications need to be used optimally. Optimal use depends on various factors including the usability of the product. The documented lack of usability evaluation guidelines provides the rationale for this study. The purpose is to investigate the usability evaluation of BI applications in the context of a coal mining organization. The research is guided by the question: What guidelines should be used to evaluate the usability of BI applications. The research design included the identification of BI usability issues based on the observation of BI users at the coal mining organization. The usability criteria extracted from the usability issues were compared and then merged with general usability criteria from literature to form an initial set of BI usability evaluation criteria. These criteria were used as the basis for a heuristic evaluation of the BI application used at the coal mining organization. The same application was also evaluated using the Software Usability Measurement Inventory (SUMI) standardised questionnaire. The results from the two evaluations were triangulated to provide a refined set of criteria. The main contribution of the study is the heuristic evaluation guidelines for BI applications (based on these criteria). These guidelines are grouped in the following functional areas: visibility, flexibility, cognition, application behaviour, error control and help, affect and BI elements. / Information Science / M.Sc. (Information Systems)

This master's thesis deals with proposal of Business Intelligence solution. The main task is analysis of Customer Care processes, based on which the Business Intelligence solution has been designed. Thanks to obtained knowledge changes has been made to get more effective contact process. The first part of the thesis describes the theoretical foundations of Business Intelligence. In the second part is analysis of the current situation and solution proposal.

The aim of the diploma thesis is to analyze the current state of creation of management reporting, its contribution to a company and to create a proposal for improving and expanding awareness of reporting in a company.

The diploma thesis focuses on the usage of Business Intelligence for the analysis of the provided employee data. It describes the process of creating dashboards in the chosen Business Intelligence tools, compares them based on the defined criteria and chooses the most suitable tool. The diploma thesis also contains a description of an implementation process of the created solution and an economic evaluation including costs and benefits.

This master’s thesis deals with comparison of the standard Business Intelligence platform specifically IBM Cognos BI and BI module integrated in the ERP system QI. In the first part it defines basic concepts of this topic and describes the life cycle of business information systems with emphasis on Business Intelligence. In the next part current situation on the market of these platforms and BI tools which create management information systems is described. Both types of BI solutions are compared with concentration on standard functionality usage. It also describes their ability to analyze through using data warehouse technology, integration with third-party products and business and economic aspects.

The aim of this diploma thesis is to summarize existing facts about Business Intelligence and to point out the benefits of using those applications in the company. This thesis therefore contains both theoretical and practical findings regarding Business Intelligence, used technologies and attitudes, and also areas for improvement with suggested solutions. Moreover, there is mapped a practical example with implementation of BI tools.

This thesis focuses on the analysis of the information system of the selected company and the proposed changes. Based on the analysis of the current situation, changes have been proposed that should significantly benefit the evaluation of marketing campaigns and automation of business activities.

Diploma thesis aims on integration of business intelligence solution into existing SAP environment. It contains solution proposal, detailed description of implementation steps and analysis of time sources and costs. I described the best practises in order to ensure smooth running of the system through its life cycle.

The master‘s thesis is focused at the use of machine learning in business environment. In this thesis I describe detailed process of how I found the target prediction, this includes cleaning data and work with them.

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