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Current Trends in Data Analytics and their Successful Enterprise Applications
RUBÁŠOVÁ, Anna
This bachelor thesis focuses on current trends in data analytics and their application to business practice. The thesis describes the development of data analytics and machine learning methods that are used to mine knowledge from data. A specific example demonstrating the use of machine learning deals with predicting the outcome of a binary classification problem, where historical data is used to predict future trends. The selected methods are implemented using a "no-code" web-based tool. A comparative analysis of the implemented methods is performed in the thesis. The methods are evaluated on the basis of their accuracy and computational efficiency, and then the most appropriate one is identified. Finally, the selected method is further optimized using a threshold value to achieve the best results.
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Smart metering data analytics
Ševčík, Prokop ; Klusáček, Jan (referee) ; Drápela, Jiří (advisor)
The thesis focuses on using data from smart meters based on two-way communication in distribution system. It describes hardware structure of smart meter and measurements of electrical quantities. The thesis summarizes multiple smart metering use cases in DS. It reviews actual implementation of use cases in DS and it evaluates data available from smart meters. Data analytics tools for DS analysis are presented based on possible use cases
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Smart metering data analytics
Ševčík, Prokop ; Klusáček, Jan (referee) ; Drápela, Jiří (advisor)
The thesis focuses on using data from smart meters based on two-way communication in distribution system. It describes hardware structure of smart meter and measurements of electrical quantities. The thesis summarizes multiple smart metering use cases in DS. It reviews actual implementation of use cases in DS and it evaluates data available from smart meters. Data analytics tools for DS analysis are presented based on possible use cases
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The Use of Data Analytics in Internal and External Audit
Tecáková, Andrea ; Říhová, Zora (advisor) ; Kadochová, Lucie (referee)
Data Analytics is one of the fast-developing applications of IT in organizations worldwide. This Master's thesis examines data analytics in the context of internal and external audit. Principal aim of the thesis is to identify the opportunities for data analytics application in both audit disciplines. Secondary goal is to design a data-analytical procedure, apply it to actual business data and thus demonstrate the benefits of employing data analytics. The thesis builds on a summary of theoretical sources of the relevant area, followed by a survey conducted by the author. The survey maps current state of data analytics usage in both internal and external audit in the Czech Republic. The added value of this thesis is, apart from the identification of audit areas in which it is beneficial to use data analytics, the design of an analytical procedure and its application. Another benefit is the survey revealing current state of the art and the insights of interviewed auditors, pointing to both benefits and problems of data analytics application to the performance of the audit profession.
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