{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:50:07Z","timestamp":1781110207550,"version":"3.54.1"},"reference-count":25,"publisher":"IGI Global Scientific Publishing","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011,10,1]]},"abstract":"<p>This paper analyzes information technology products for improvement existing solutions and implementations. Selected products are Business Intelligence (BI) applications in comparison with Customer Relationship Management (CRM), database and operating systems. The subject of interest is the architecture. BI architecture is less sophisticated in regard to adopted arrangements for other products. The best resolution offers an Oracle database system. This arrangement helps provide extraordinary stability to the given system. Operating systems have minimalist architecture with necessary processes and configuration files; similarly as for CRM products. BI architecture is without order, with items as tools for end users, component analysis, database components, components for data transformation and integration, and system sources. The solution is to merge the system source with methods for their transformation, and tools for end users with component analysis. Presented analysis is based on Petri Nets.<\/p>","DOI":"10.4018\/jeei.2011100102","type":"journal-article","created":{"date-parts":[[2012,1,13]],"date-time":"2012-01-13T11:40:43Z","timestamp":1326454843000},"page":"20-31","source":"Crossref","is-referenced-by-count":0,"title":["Visualization and Simulation for the Analysis of Business Intelligence Products"],"prefix":"10.4018","volume":"2","author":[{"given":"Milena","family":"Janakova","sequence":"first","affiliation":[{"name":"Silesian University in Opava, Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"jeei.2011100102-0","author":"A.Abraham","year":"2006","journal-title":"Swarm Intelligence in Data Mining (Studies in Computational Intelligence)"},{"key":"jeei.2011100102-1","doi-asserted-by":"crossref","unstructured":"Abramsky, S. (2007). Petri Nets, Discrete Physics, and Distributed Quantum Computation. Oxford, UK: Oxford University Computing Laboratory. 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