Abstract. The paper discusses the reasons of complexity rise in ERP system SAP R/3. It proposes a method for measuring complexity of SAP. Based on this method, the computer program in ABAP for measuring complexity of particular SAP implementation is proposed as a tool for keeping ERP complexity under control. The main principle of the measurement method is counting the number of items or relations in the system. The proposed computer program is based on counting of records in organization tables in SAP. Keywords: Complexity, ERP, SAP, measurement, information system, business. IntroductionIn this paper we discuss the approaches to complexity and show that several methodologies used for Information and communication technology (ICT) and information systems (IS) management do not handle the topic of complexity well. Then we discuss the complexity of SAP ERP 1 system and the reasons for rising complexity in SAP implementations. Afterwards we propose a method and a program for measuring complexity of ERP systems and describe a verification of the method on a certain business case. There are several decisions during the lifecycle of an SAP System that influence the complexity of the systems. These decisions are made by project manager, by IT managers or by team members. The goal of our paper is to give a tool for the decision makers, which can measure the complexity at a certain point. It could be used by project manager or solution architect during the implementation to control the complexity and prevent the growth of it. Related Work on Measuring ComplexityA good theoretical basis for describing and exploring complexity can be found in the mathematical graph theory [1], [2], which can be applied to some IS/ICT models to facilitate their quantification and subsequent comparison and, in some cases, even their simplification. Publications that come closest to the topic of business information system complexity deal with using metrics to measure complexity, such as information flow metrics [3], Halstead's method or functional point analysis [4], or a simple number of source code lines [5]. These methods are focused on software development and are less suitable to handle SAP systems, where more settings are done by customization and system configuration. There are also publications dealing with the impacts of complexity on system security and maintainability. Their objective is to 1 SAP ERP -Enterprise Resource Planning software of SAP company (www.sap.com)

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The paper describes a project of automatic selection, scraping, and full-text analysis of contracts in the area of IT and Information Systems. The purpose of the project was to extract manday prices and build the list of usual manday prices for particular roles that are stated in the contracts. The list aims to provide a foundation for sizing of new IT solutions before the public tender for an association of major state institutions of the Czech Republic. The result of the research is the list of usual prices for the specified roles, including blended rate, based on median and interval between quartiles, all with demonstrable links to origin contracts. The discussion states additional social factors to be considered when interpreting and using the resulting list, like the subjective influence of validators, tendency for generalization, or defensive attitude of affected vendors.

Social networks and Internet discussions are valuable sources for a company’s marketing research and public relations management. The Internet is full of public communication in an unstructured form and reflects recent movements of contributors' perception of the company, brand, products, competitors or whole market. As one of the approaches to achieve a better view we propose to design metrics which should be followed in order to get valuable insight where the company stands in terms of its customers. This paper focuses on obtaining an e-Word-of-Mouth in the banking sector using publicly available data. The main goal is to design metrics and dashboards evaluating customers’ perception of a bank’s services based on the analysis of public Facebook sites and web discussions related to several banks in the Czech Republic. We studied several approaches to unstructured data analysis. Thus we present complementary findings in classification of the unstructured data analysis presentation as a set of summarised metadata, top peaks of primary qualitative data and results of automated semantic analysis of the unstructured data. Based on the result we discuss the possible value of an unstructured data analysis and related systems. We find out that the value could be in the identification of opportunities and threats in the market by unexpected movements in public opinion of the Internet crowd, which we suggest to explore in future research. The benefit of this report is to describe the processing of data that can be obtained with emphasis on their content, their further enrichment, and their users.