During last years information and communication technologies (ICT) are developing very dynamically and are penetrating into a lot of various business areas. Its perceiving is progressively changing from something rather sporadic, bringing a competitive advantage on the market, to absolute necessity determining existence or inexistence of certain enterprise among organizations able to compete.The paper maps actual state and evaluates develop needs in area of trade support by ICT devices in czech as well as european society in general, and this on the basis of accessible statistical evidences, publicised studies and various researches outcomes and other conducting sources. It notices problems or lacks in this area and it identifies trends in its solution.Some simple indicators and also complex indicator so-called “e-business index” are monitored for evaluating of actual state of ICT using in sphere of trading and also in order to possibility of successive identification of trends in this area. This summary indicator measures level of ICT using in certain enterprise, and integrates in itself, among others, some from mentioned simple statistics too. It is constructed from four main general subcategories, which are in more detailed way separated onwards.

Today, the demand for creating a systematic approach for managing sales, ordering, and logistics has increased. Supply Chain Management (SCM) is one of the responses to problems that have arose with the need for managing complex supply chains. Nowadays, most of the activities of Supply Chain Management is realized or supported with computing technologies. Route planning is an important part of Supply Chain Management related to both procurement and distribution. Route planning systems specify the sequences in which the selected transport vehicles should supply the demand points by requested quantities of goods at the right time. The paper is focused on the analysis of a route planning system which could be used as a part of Supply Chain Management information system or as a standalone application. It describes basic techniques and frameworks of transportation problems as well as important functional requirements, considering recent trends in the field of distribution planning. As a result, functional specification of basic features and other components of system are provided. The paper is a result of a joint initiative of the authors and a vendor of business information systems.

Decreasing number of secondary school graduates means that, for college, it becomes more difficult to fulfill guide number of newly admitted students. In order to maintain an optimum number of registered students, the Faculty of Business and Economics decided to support activities which increase the interest of its accredited programs.Potential students should be treated as customers to whom we want to offer a product – knowledge, skills and competencies. Promoting study programs PEF MENDELU is handled by PR department in collaboration with several students.Availability of resources for promotion is limited. It is crucial to deciding how to deal with these sources. By creating a system for monitoring and decision support, we provide all interested collaborators tool to improve decision-making processes.The system itself will be built on the tools of Business Intelligence (BI) that can observe consumer trends, identify customer segments and other important information. The BI emphasizes the use of OLAP technology for data processing. In the collected data about students is hidden a large amount of information that can be obtained using techniques such as knowledge discovery in databases.This article aims to describe the methodology for solving problems and show the application, which result in support of decision-making processes in the propagation PEF MENDELU, which should also lead to the efficiency of spending on this activity.

TURČÍNEK, P., MOTYČKA, A.: Possibilities of using ICT for increase of customer feeling of exceptionality. Acta univ. agric. et silvic. Mendel. Brun., 2011, LIX, No. 2, pp. 365-370 Accession of the Internet undoubtedly has contributed to the shi of marketing activities. With the increasing availability and wealth of online information customers become more knowledgeable and sophisticated. If a company wants to keep its customers in long term, it must off er something more than an "ordinary" product, which has comparable substitutes in tens of other companies. At fi rst it is necessary to identify customers behavior and thinking. Observation of his/her preferences of a demanded product line discovers products playing the key role from his/her point of view. We use methodical tools for this purpose e

This paper summarizes results of the research project “Application of modern methods to data processing in the field of marketing research” which was solved at the Department of Informatics, Faculty of Business and Economics of Mendel University in Brno. The most of these results were presented at international conferences.It describes the use of knowledge discovery techniques on data from marketing research of consumers’ behaviour. The paper deals with issues of classification, cluster analysis, correlation and association rules.For classification there were used various algorithms: multi-layer perceptron neural network, self-organizing (Kohonen’s) maps, bayesian networks and generation of a decision tree. Beside Kohonen’s maps, which were tested in MATLAB software, all classification methods were tested in Weka software.In order to find clusters of the methods K-means, Expectation-Maximization, DBSCAN Weka was also used as software for clustering. Correlation analysis was done based on statistical approach. Generation of association rules was achieved by use of Apriori and the FP-growth algorithm in Weka.The paper describes above mentioned methods and shows achieved results of exploring data from marketing research on consumers’ behaviour.This article discusses the suitability of these methods usage on such data sets. It also suggests further research possibilities of knowledge discovery on consumers’ behaviour.