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Corporate Performance Measurement
Pavlová, Petra ; Novotný, Ota (advisor) ; Krejčí, Jiří (referee)
This thesis deals with the application of Business Intelligence (BI) to support the corporate performance management in ISS Europe, spol. s r. o. This company provides licences and implements original software products as well as third-party software products. First, an analysis is conducted in the given company, which then serves as basis for the implementation of the BI solution that should be interconnected with the company strategies. The main goal is the implementation of a pilot BI solution to aid the monitoring and optimisation of corporate performance. Among secondary goals are the analysis of related concepts, business strategy analysis, strategic goals and systems identification and the proposition and implementation of a pilot BI solution. In its theoretical part, this thesis focuses on the analysis of concepts related to corporate performance and BI implementations and shortly describes the company together with its business strategy. The following practical part is based on the theoretical findings. An analysis of the company is carried out using the Balanced Scorecard (BSC) methodology, the result of which is depicted in a strategic map. This methodology is then supplemented by the Activity Based Costing (ABC) analytical method, which divides expenses according to assets. The results are informational data about which expenses are linked to handling individual developmental, implementational and operational demands for particular contracts. This is followed by an original proposition and the implementation of a BI solution which includes the creation of a Data Warehouse (DWH), designing Extract Transform and Load (ETL) and Online Analytical Processing (OLAP) systems and generating sample reports. The main contribution of this thesis is in providing the company management with an analysis of company data using a multidimensional perspective which can be used as basis for prompt and correct decision-making, realistic planning and performance and product optimisation.
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Multidimensional modeling
Tříska, Aleš ; Pour, Jan (advisor) ; Mezník, Lubomír (referee)
This thesis deals with the processing of data through Business Intelligence. Any operating company today is using some kind of information system, which generates enormous amount of data. Business intelligence is responsible to structure this data and enable previews which help corporate decision-making. The thesis is divided into theoretical and practical parts. The theoretical part describes ideas and role of Business Intelligence (BI). The practical part is about implementation of BI in the existing company in that way, to do its job. This could be achieved by understanding corporation processes and its database. Integral part of making BI was also communication with the management company that has established requirements for the data previews. Due to this, it was possible to create Business Intelligence solution that will preview data in structure, which will be user friendly and inexpensive.
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