Dashboarden har kommit att bli ett uppmärksammat verktyg bland organisationer de senaste åren. En dashboard kan beskrivas som en visuell display som förmedlar väsentlig information nödvändig för att uppnå ett eller flera objektiv, som kan övervakas med en enda blick. En effektivt designad dashboard kan optimera ett företags prestationer och beslutsfattande genom att styra medlemmar i samma riktning samt förse dem med pålitliga beslutsunderlag. Tidigare forskning och läroböcker har berört motivation, implementersstadier av dashboards, val av nyckeltal samt hur dashboards ska designas för att vara effektiva. Få studier har dock undersökt hur dashboards designas i praktiken. Syftet med denna uppsats var därför att undersöka hur företags design av dashboards ser ut, och mer specifikt hur designen varierar efter syftet med dashboarden.  För att besvara problemställningen genomfördes en kvalitativ studie i form av små N-studier. Datainsamlingen inkluderade fem separata intervjuer med respondenter som varit delaktiga i designen av deras företags dashboard, samt kompletterande skärmavbilder på dessa. Studiens resultat indikerar att designen av dashboards i praktiken är komplext, men att några samband mellan syfte och design kan identifieras. Beroende på typen av dashboard, vilket korrelerar med dess syfte, kommer valet av KPI:er och funktionella egenskaper se olika ut. Inget tydligt samband mellan syfte och visuella egenskaper kunde identifieras.

This master’s thesis focuses on monitoring and profiling multidimensional database and reports. The project was created in MS SSIS to this purpose and it contains 4 ETL packages. The thesis is divided into three main sections. First section consists of theoretical background needed to accomplish the goal. In second section there is analysis of the company for which is the solution created and in the third part of the thesis there is described the proposal and it’s solution. Proposal of the solution and the solution itself was created in MS Visual Studio 2015, MS SQL Management Studio and Power BI.

This thesis deals with summarization, processing, transformation and interpretation of large amounts of betting odds data. The goal of this thesis is to find out whether it is possible to invest in sports betting odds market without any previous knowledge about sport, using only mathematical skills and business intelligence tools.

Master's thesis focuses on BI projects maintenance optimization of company Intelligent Technologies s.r.o., which is one of the leading suppliers of Business Intelligence and Data Warehousing solutions in Czech Republic. The thesis is divided into three main sections – theoretical, analytical and practical. The main goal of these sections is an explanation of important concepts that are necessary to understand the solution, which is being created, analysis of the current state of selected company and detailed description of creating main solution. In this thesis following Microsoft programs were used - Visual Studio 2015, SSIS, SQL Server Management Studio 2017 and Power BI.

This project explores basic methods of time series analysis and decomposition of these series using the additive model. It describes creation of classes for generating and decomposition of time series in Python. This project also guides the reader through creation of Matlab user interface which is used to generate time series and mark chosen parameters. I also go through implementation of functions for time series decomposition previously created in Python. I chose seven parameters of which I kept track. I also chose general features for representing chosen parameters as well as features which were chosen carefully for each parameter. Every time series generated by this user interface are then used to train a program, which classifies them for semantic description. After training the created model was used to predict chosen parameters of previously unknown time series.

This master’s thesis is focused on creating an application for survey analysis. In the first section are theoretical foundations of a direct marketing and Business Intelligence. The next chapter focuses on available tools for data analysis and BI. Analysis and preparation of input data are also included in this part. Finally, the solution proposal is presented.

This thesis focuses on the area of detection of potential insurance frauds by using Business Intelligence (BI) and its practical application to real data of compulsory and accident insurance. It describes the basic concepts of insurance business, the individual layers of BI architecture, and a detailed description of the implementation process from data transformation through the use of advanced analytical methods to the presentation of acquired information.

Cílem této diplomové práce je vytvoření Business Intelligence řešení pro společnost 1188. Na základě výsledného Business Intelligence řešení bude umožněno managementu společnosti vykonávat přesnější rozhodnutí, která se budou shodovat se strategií společnosti.

This diploma thesis focuses on risk management of a selected company using data analysis tools. The thesis comprehends three main parts. The first part aims at an introduction and presentation of a selected company, and marketing analysis of its surroundings is realized. The second part addresses theoretical issues concerning risk management and data analysis tools. In the third part, financial analysis and evaluation of the possible risks of the company using data analysis tools are realized. Eventually, for the highest risks precautions are proposed.

The aim of this master thesis was to design and develop decision making solution (Business Intelligence) for company Toprecepty.cz. Thanks to this solution, company management will have the ability to produce better decisions based on gained analytical information.