Технология интеграции гетерогенного контента в корпоративных информационных системах
The paper presents major concepts of the new technology for large-scale data integration. The current enterprise data size is large, and it grows exponentially. The data management issue is even more challenging due to the heterogeneous character of the data. The technology developed encompasses a set of new object-based models, methods and software tools for representing and manipulating heterogeneous data.
The paper describes categories of costs which can be included in total cost of ownership (TCO) of information-analytical system and which are connected with the data integration system (DIS). Some problems of creating DIS are described. The streaming architecture of DIS, which helps to solve problems of stability and scalability of DIS and to lower TCO of IAS is proposed.
Case Management is the management of collaborative processes that coordinate content, knowledge, and resources to progress a business to achieve a particular goal, where the path of execution is often unpredictable and where human judgment has significant influence for determination of how the end goal can be achieved. The key characteristics of Case Management include: information complexity, knowledge-intensive, and variability. The knowledge-driven economy brings new challenges for business. Markets and business-processes are becoming more global, customers are more demanding, and product life cycles are shortening. The complexity of technologies, including Information Communication Technologies (ICT), is increasing. So while the knowledge economy represents new opportunities, certain actions are needed to support and take advantage of these developments. This evolution can be enhanced by the adoption of Case Management that has reduced the cost of gathering and disseminating knowledge. The contribution of Advanced Case Management (ACM) to innovation has been achieved most notably by reducing transaction costs between companies and other actors, especially in areas such as information search and buying. The main goal of this theoretical study is to evaluate the role of contemporary information systems (IS) and technologies for supporting Case Management as tool for forming corporate knowledge. Attention of many scientists and researchers in this subject field is focused on the study of Customer Relationship Management (CRM), Business Process Management (BPM), and Enterprise Content Management (ECM) or Electronic Document and Record Management (EDRMS) systems. But these technologies and systems are not sufficient to address the key problems. Enterprise Content Management and Business Process Management (BPM) with specific support for knowledge intensive processes can be discussed as more appropriate solution to Case Management successful implementation and use. BPM-based Case Management can take into account unpredictable or uncertain nature of cases and effectively combine processes and knowledge. It can consider as innovation in Data Management.
The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability
Existing approaches suggest that IT strategy should be a reflection of business strategy. However, actually organisations do not often follow business strategy even if it is formally declared. In these conditions, IT strategy can be viewed not as a plan, but as an organisational shared view on the role of information systems. This approach generally reflects only a top-down perspective of IT strategy. So, it can be supplemented by a strategic behaviour pattern (i.e., more or less standard response to a changes that is formed as result of previous experience) to implement bottom-up approach. Two components that can help to establish effective reaction regarding new initiatives in IT are proposed here: model of IT-related decision making, and efficiency measurement metric to estimate maturity of business processes and appropriate IT. Usage of proposed tools is demonstrated in practical cases.