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Application of Mathematical and Statistical Methods in Company Management
Hrkeĺ, Jan ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This thesis deals with the analysis and proposal of improvements to existing processes in a selected company using mathematical and statistical methods. This is achieved on the basis of digitalization and automation of invoice processing processes in the selected company in order to increase competitiveness in a dynamic business environment. Due to the high costs and risks associated with traditional manual invoice processing, the enterprise decided to switch to a modern digital solution. The thesis is divided into two parts, the first of which outlines the theoretical foundations that are the key treasure trove for the subsequent detailed analysis of the current state of invoice processing. Next, key issues are identified and an effective solution is proposed using Microsoft's SharePoint, Power Apps and Power BI technologies. The implementation of the proposed solution brings significant benefits to the business, including reduced operational costs, increased accuracy of invoice data, and freeing up human resources for other tasks.
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Creating a Software Application in a Corporate Environment
Suský, Martin ; Sailer, Zbyněk (referee) ; Kříž, Jiří (advisor)
This thesis focuses on the design of a software application according to the special requirements of Intecs data, s.r.o. in Brno. The application is designed in the Power Apps environment and uses a modern Low Code approach to programming, which reduces the time required for application development and thus the costs. The theoretical part of the thesis explains the basics of using Low Code programming and Microsoft's Power Apps solution and describes the analyses that are subsequently used to analyse the Intecs data company for which the application is created.
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Proposal of AI-Enabled Microsoft Power Platform Automation in Environment of Financial Audit
Heffner, Christián ; Kříž, Jiří (referee) ; Luhan, Jan (advisor)
This diploma thesis is focused on the design of the automation of the selected process using AI and Microsoft Power Platform. Part of the work is the detailed design of the Front-end in Power Apps, the AI module in MS AI builder and the design of the back-end in Power Automate as part of the Custom Solution Design. The work analyzes the current state in the company and the selected process. Based on the analysis, the application that automates the process is designed. The analysis is preceded by extensive theoretical research dealing with Business Intelligence, process management, AI and, last but not least, financial audit.
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The influence of digitalization on business model
MLÁDKOVÁ, Eliška
The thesis focuses on the nature and magnitude of the impact that digital transformation has on the business model. The theoretical part of the thesis explains the terms commonly used in the field of digital transformation and describes the concept of business model including its types and templates for its creation. The thesis includes a sample mobile application created in Power Apps, which is used for reporting hours. This application is linked to a report created in Power BI via an automated flow created in Power Automate. This report is used for a visual overview of the hours reported. A sample business model of a fictitious company that specializes in website development, mobile application development and web hosting is also created as part of the work. The Lean Canvas template was used to create the model.
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Creating a Software Application in a Corporate Environment
Suský, Martin ; Sailer, Zbyněk (referee) ; Kříž, Jiří (advisor)
This thesis focuses on the design of a software application according to the special requirements of Intecs data, s.r.o. in Brno. The application is designed in the Power Apps environment and uses a modern Low Code approach to programming, which reduces the time required for application development and thus the costs. The theoretical part of the thesis explains the basics of using Low Code programming and Microsoft's Power Apps solution and describes the analyses that are subsequently used to analyse the Intecs data company for which the application is created.
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