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National Repository of Grey Literature 2 records found  Search took 0.02 seconds. 
An analysis and implementation of Dashboards within SAP Business Objects 4.0/4.1
 Kratochvíl, Tomáš ; Pour, Jan (advisor) ; Šedivá, Zuzana (referee)
The diploma thesis is focused on dashboards analysis and distribution and theirs implementation afterwards in SAP Dashboards and Web Intelligence tools. The main goal of this thesis is an analysis of dashboards for different area of company management according to chosen of architecture solution. Another goal of diploma thesis is to take into account the principles of dashboards within the company and it deals with indicator comparison as well. The author further defines data life cycle within Business Intelligence and deals with the decomposition of particular dashboard types in theoretical part. At the end of theory, it is included an important chapter from point of view data quality, data quality process and data quality improvement and an using of SAP Best Practices and KBA as well for BI tools published by SAP. The implementation of dashboards should be back up theoretical part. Implementation is divided into 3 chapters according to selected architecture, using multisource systems, SAP Infosets/Query and using Data Warehouse or Data Mart as an architecture solution for reporting purposes. The deep implementing section should be help reader to make his own opinion to different architecture, but especially difference in used BI tools within SAP Business Objects. At the end of each section regarding architecture and its solution, there are defined pros and cons.
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Practical use of Web Intelligence
 Hnízdil, Jan ; Slánský, David (advisor) ; Pour, Jan (referee)
Web Intelligence has been quiet a popular topic lately. This thesis doesn't try to form the exact definition of Web Intelligence, because it's impossible. The aim is to demonstrate practical use of WI in retail banking instead. Since Web Intelligence can be seen as some kind of advanced Web Analytics system, the text starts off with explaining basics of Web Analytics. Then a hypothetical story about Mr. Cerny ' looking for a bank that would give him a mortgage loan is told. Meanwhile, a bank that provides Mr. Cerny 's current account tries to sell its own mortgage loan to him. Unfortunately, wrong channel at a wrong time is used to communicate the message which ends up with Mr. Cerny denying the offer instantly. Obvious mistakes made by the bank are then picked up and discussed. The conclusion is you need to know your customer very good to have long and healthy relationship. One way to achieve this is to deployWeb Intelligence solution that would reveal online habits of every one of your customers. Event Driven Marketing online campaigns can then be used to identify customers needs and target them at the right time, through the right channel and with the right message. If everything works well, the customer starts to percieve marketing communication as a personal support rather than annoying advertisement.
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