Mladen Varga

University of Zagreb, Faculty of Economics and Business · Department of Informatics

Knjiga se bavi organizacijom podataka u računalno podržanom informacijskom sustavu, načinima korištenja podacima i njihovom obradom pri obavljanju izvršnih, upravljačkih i drugih poslova. Razmatra metode i tehnike pohranjivanja i pretraživanja podataka u bazama i skladištima podataka, bazama dokumenata ili na webu. Opisuje kako upravljati podacima...

Baza podataka je organizirana kolekcija podataka u kojoj je podatke jednostavno pronalaziti, čitati i mijenjati odnosno kojima je jednostavno upravljati. U knjizi se razmatraju strukturirani podaci koje je prikladno pohranjivati u relacijskim bazama podataka. Organiziranje relacijske baze podataka obavlja se kroz tri koraka: (1) konceptualnim mode...

It is universally recognized that operational information systems lean on the relational model and datawarehouses on the multidimensional model. The phrase On-Line Analytical Processing (OLAP) means summarizing, consolidating, viewing, and synthesizing data according to multiple dimensions. The process of modeling data warehouse may start from oper...

The Zachman framework for information systems architecture is a classification scheme for development and documenting an enterprise-wide information system. It is useful in teaching various topics on information systems, such as: information systems development as an engineering process, basic information systems components and design artefacts, sy...

The paper describes how users in a small transitional country perceive open government data. It discusses the objectives of opening government data to the public, considers what end-users require, and investigates impediments to end-user’s adoption of open data. The results reveal the following: end-users are generally unprepared to use open data;...

The paper describes several increasingly important aspects of information systems integration, of which data integration is given most attention. The common techniques of data integration, such as data consolidation, data federation and data propagation are discussed. Avoiding information inconsistency in the process of data integration can improve...

The paper considers some of the challenging aspects of data improvement in an enterprise information systems (EIS), such as coping with data overload, data degradation, data integration, data ownership/stewardship, data quality, data privacy and data visualization.

Data management in always-on enterprise information systems is an important function that must be governed, that is, planned, supervised, and controlled. According to Data Management Association, data management is the development, execution, and supervision of plans, policies, programs, and practices that control, protect, deliver, and enhance the...

Data management in always-on enterprise information systems is an important function that must be governed, that is, planned, supervised, and controlled. According to Data Management Association, data management is the development, execution, and supervision of plans, policies, programs, and practices that control, protect, deliver, and enhance the...

Complex IT projects, such as information systems development or ERP implementation, are often unsuccessful due to bad project management, inappropriate methodological approach or ignoring good practice. The paper considers typical and frequently repeated mistakes in IT projects known as bad practice and describes the ways of avoiding them. Bad prac...

Success of business operations is strongly correlated with the quality and efficiency of business processes and effective management. Business engineering helps to achieve mentioned objectives. Information technology is the key factor of development and implementation of business (process) change, which also in turn influences the improvement of th...

Complex IT projects, such as information systems development or ERP implementation, are often unsuccessful due to bad project management, inappropriate methodological approach or ignoring good practice. The paper considers typical and often repeated mistakes in IT projects known as bad practice; and describes the ways of their avoidance. Bad practi...

Trends in data processing for decision support show that business users need business analytics, i.e. analytical applications which incorporate a variety of business oriented data analysis techniques and task-specific knowledge. The paper discusses the feasibility of investment in two models of implementing business analytics: custom development an...

The paper presents an algorithm for generating analytical data model from collected business data requirements, which are represented by entities of interest, their associations and attributes. The requirements are described in generic form, which is capable to accept any model regardless their purpose. The algorithm finds proper entities which ser...

A study was conducted to determine ways of decision making in Croatia. The study shows that in decision making process of Croatian managers dominates operational and programmed decision-making instead of strategic decision-making. The usage of information technology for decision-making support is limited to static reporting instead of dynamic repor...

Abstract - The quality of decision-making process is affected by the quality of information used in the process. Trends in data processing for decision support show that business users need analytical applications which incorporate a variety of data analysis techniques incorporating task-specific knowledge, i.e. that are business task-oriented. Suc...

Educational programs in information technology have to be continually re-evaluated and revised. A study was conducted to determine perceived IT knowledge requirements for business professionals. The study suggests that IT professionals in business have to be armed with a mix of knowledge in IT technology, management, and business operations. Also,...

The Zachman Framework for information systems architecture is a scheme for classifying and organizing the design artefacts created in the process of designing and producing information systems. It classifies artefacts on two views or dimensions: perspectives or roles and characteristics or abstractions. Although motivation abstractions are often ne...

Three steps in data modelling include conceptual, logical and physical modelling. The conceptual modelling models data from the users' perspective independently from any logical and physical implementation. The paper discusses different conceptual modelling styles that may apply in modelling transactional and analytical information system. They are...

Information systems curriculum must be continually considered, re-evaluated and revised. The paper presents a view on the problem of classification of information systems teaching units into a set of courses. The classification is based on the decomposition of information systems and the Zachman Framework for IS architecture. It yields in an inform...

Framework for information systems architecture. The Framework for information systems architecture is a classification scheme for development and documenting an enterprise-wide information system. The Framework helps to look at an information system as a complex engineering product. The Framework is a good analytical thinking tool in the informatio...

Relational modelling is used for the modelling of transactional data stored in relational databases while dimensional modelling is prevalently used for the modelling of dimensional data stored in data warehouses. The modelling approach used is quite different. In relational modelling the focus is on identification of fundamental or strong entities...