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National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Analysis of highest and best use of a single-family house in Červený Kostelec
 Mertlíková, Michaela ; Tuscher, Martin (referee) ; Komosná, Milada (advisor)
The thesis deals with the analysis of highest and best use (HABU). In the theoretical section we describe the four basic criteria from which the analysis is made. These are the criteria: legal compliance, physically viable, financially feasible and maximally profitable. The practical part then addresses the evaluation of specific variants of real estate in Cerveny Kostelec by analyzing the highest and best use.
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Analysis of highest and best use of a single-family house in Červený Kostelec
 Mertlíková, Michaela ; Tuscher, Martin (referee) ; Komosná, Milada (advisor)
The thesis deals with the analysis of highest and best use (HABU). In the theoretical section we describe the four basic criteria from which the analysis is made. These are the criteria: legal compliance, physically viable, financially feasible and maximally profitable. The practical part then addresses the evaluation of specific variants of real estate in Cerveny Kostelec by analyzing the highest and best use.
Detailed record
Big data - application in banking
 Uřídil, Martin ; Slánský, David (advisor) ; Pour, Jan (referee)
There is a growing volume of global data, which is offering new possibilities for those market participants, who know to take advantage of it. Data, information and knowledge are new highly regarded commodity especially in the banking industry. Traditional data analytics is intended for processing data with known structure and meaning. But how can we get knowledge from data with no such structure? The thesis focuses on Big Data analytics and its use in banking and financial industry. Definition of specific applications in this area and description of benefits for international and Czech banking institutions are the main goals of the thesis. The thesis is divided in four parts. The first part defines Big Data trend, the second part specifies activities and tools in banking. The purpose of the third part is to apply Big Data analytics on those activities and shows its possible benefits. The last part focuses on the particularities of Czech banking and shows what actual situation about Big Data in Czech banks is. The thesis gives complex description of possibilities of using Big Data analytics. I see my personal contribution in detailed characterization of the application in real banking activities.
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