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Business ERP System
Komárek, Lukáš ; Ruttkay, Ladislav (referee) ; Solár, Peter (advisor)
This thesis focuses on the issues while creating the ERP system on the .NET Framework platform using Microsoft technologies. Individual chapters introduce readers to the analysis, design and implementation of the ERP system. The reader is informed about the ERP system's categorization and components, modern development technologies and tools, an example of modules and functions design including implementation and deployment of ERP system's application.
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Module of Planning and Management of Production Resources
Klaudíny, Michal ; Cuninga, Michal (referee) ; Kříž, Jiří (advisor)
Bachelor’s thesis is focused on suggestion and creation of system for effective management and planning of production resources of a real company. Thesis content is composed of short introduction of company, then follows theoretical part, in which are described used programming technologies. In last part is suggested and elaborated system itself and are presented advantages, that it will brings.
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Module of Planning and Management of Production Resources
Klaudíny, Michal ; Cuninga, Michal (referee) ; Kříž, Jiří (advisor)
Bachelor’s thesis is focused on suggestion and creation of system for effective management and planning of production resources of a real company. Thesis content is composed of short introduction of company, then follows theoretical part, in which are described used programming technologies. In last part is suggested and elaborated system itself and are presented advantages, that it will brings.
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Business ERP System
Komárek, Lukáš ; Ruttkay, Ladislav (referee) ; Solár, Peter (advisor)
This thesis focuses on the issues while creating the ERP system on the .NET Framework platform using Microsoft technologies. Individual chapters introduce readers to the analysis, design and implementation of the ERP system. The reader is informed about the ERP system's categorization and components, modern development technologies and tools, an example of modules and functions design including implementation and deployment of ERP system's application.
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Business Intelligence principles and their use in questionnaire investigation
Hanuš, Václav ; Maryška, Miloš (advisor) ; Novotný, Ota (referee)
This thesis is oriented on practical usage of tools for data mining and business intelligence. Main goals are processing of source data to suitable form and test use of chosen tool on the test case. As input data I used database which was created as result of processing forms from research to verify the level of IT and economics knowledge among Czech universities. These data was modified into the form, which allows processing them via data mining tools included in Microsoft SQL Server 2008. I choose two cases for verification the potentials of these tools. First case was focused on clustering using Microsoft Clustering algorithm. Main task was to sort the universities into the clusters by comparing their attributes which was amounts of credits of each knowledge group. I had to deal with two problems. It was necessary to reduce the number of groups of subjects, otherwise there was a danger of creation too many clusters which I couldn't put the name on. Another problem was unequal value of credits in each group and this problem caused another problem with weights of these groups. Solution was at the end quite simple. I put together similar groups to bigger formation with more general category. For unequal value, I used parameter for each of new group and transform it to scale 0-5. Second case was focused on prediction task using Microsoft Logistic Regresion algorithm and Microsoft Neural Network algorithm. In this case was the goal to predict the number of presently studying students. I had a historical data from years 2001-2009. A predictive model was processed based on them and I could compare the prediction with real data. In this case, it was also necessary to transform the source data, otherwise it couldn't be processed by tested tool. Original data was placed into the view instead of table and contained not only wished objects but more types of these. For example divided by a sex. Solution was in creation of new table in database where only relevant objects for test case were placed. Last problem come up when I tried to use prediction model to predict data for year 2010 for which there wasn't real data in the table. Software reported an error and couldn't make prediction. During my research on the Microsoft technical support I find some threads which refer to similar problem, so it's possible that this is a system error whit will be fix in forthcoming actualization. Fulfillment of these cases provided me enough clues to determine abilities of these tools from Microsoft. After my former school experience with data mining tools from IBM (former SSPS) and SAS, I can recognize, if tested tools can match these software from major data mining supplier on the market and if it can be use for serious deployment.
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KPI management - auto alerting in MS SQL
Vedral, Jakub ; Pour, Jan (advisor) ; Zajíc, Ján (referee)
This diploma thesis deals with the problem of automatic alerting on Microsoft SQL Server 2008 platform. Thesis was elaborated with Clever Decision s.r.o. company which significantly contributed to thesis assignment. Main goal of this thesis is to provide a solution concept for absence of alerting for multidimensional data in Microsoft's product. Alerting is aimed at critical business data -- Key performance indicators - KPIs. KPIs are used to deliver enhanced business performance through Corporate Performance Management concept. These indicators need to be watched frequently. Considering that alerting solution is convenient for watching the data. Solution concept is based on market research of Business Intelligence (BI) platforms which dominates the market. Platforms are examined for their alerting capabilities. Next goal is to provide overall insight to KPI management -- creating, managing, analyzing and monitoring of KPIs. Thesis is divided into three sections. First part creates theoretical background for solution creation and describes the field of KPI management. Second part consists of market research using selected criteria. Third part is aimed at providing the solution concept through web application fixing the absence of alerting on Microsoft SQL Server 2008 platform. This thesis is primarily intended for Clever Decision company but also for various BI experts dealing with alerting problems on BI platforms. Thesis serves also as a theoretical summary of KPI management which is commonly evaded by available technical literature.
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