Introduction. The modern economy is characterized not only by processes of increasing globalization and competition in markets, mobility and internationalization of resources, rapid devel opment of innovative information technologies, but also by rapid spread of crisis phenomena in the middle and between economies-all these factors put forward new requirements for effective corporate governance. Purpose. Thus, for the sake of stability, not only in the current global market competition, but especially in the context of macroeconomic crisis phenomena, all efficient companies (including logistic) should be able to adapt quickly and efficiently to changes, that is, they must be systemically adaptive. Results. Taking into account the above-mentioned relevance and results of previous researches of the authors, the methodology of innovative reorganization of the logistic company (LC) was developed through its reengineering within the framework of the implementation of anti-crisis management policy. It should be noted that an appropriate adequate and effective information system is an integral part of any management system. Therefore, without a relevant, effective and adaptive logistic information system (LIS), management of any logistic company (LC) is difficult to optimally and operatively perform complex management even in normal market, non-crisis conditions. Consequently, the actual purpose of designing a new and / or reengineering existing LIS is to improve the efficiency of functioning of the logistic processes of the enterprise, optimization of all its business processes, taking into account global and sectoral, ordinary and crisis influences. In the article, considering the industry specificity of the transport industry, the system problems of existing classical logistic systems are investigated and revealed, taking into account the following global trends for 3PL companies: mergers and acquisitions, Big Data problems, the importance of introducing Data Mining technologies for anti-crisis Fraud Detection, the relevance of corporate Knowledge Management technologies. Taking into account the above-mentioned results and considering the results of the previous author's researchthe comprehensive cross-cutting method of anti-crisis reengineering of forest in crisis macroeconomic phenomena has been developed. Considering the substantiated (in previous studies of the authors) the relevance and positive effect of the joint, hybrid-script use of Big Data, Data Mining and Knowledge Management technologies, the algorithm of an adaptive knowledge based LIS with the planning and ranking of relevant information flows and management impacts has been developed. Conclusions. The obtained results are relevant and applicable not only for local logistic companies, but also for international applications in the context of projected global macroeconomic and current national crisis phenomena.

Krasnyuk M. T., Hrashchenko I. S., Kustarovskiy O. D., Krasniuk S. O. Methodology of effective application of Big Data and Data Mining technologies as an important anti-crisis component of the complex policy of logistic business optimization Економічні горизонти № 3(6)'2018Abstract. The purpose of the research is divided into two, sequential and related phases: a) development and configuration of a comprehensive policy of optimization of the logistic business as an integral part of the anti-crisis measures, taking into account the domestic national specifics, sector specifics of the transport industry in the current systemic political and macroeconomic crisis; b) considering the importance of optimizing the information management of the logistic company (as an important component within the framework of the developed anti-crisis optimization policy). The next goal of the article is to develop a methodology for hybrid effective use of innovative technologies of Big Data and Data Mining within the framework of adaptive logistic information system for logistic companies. Methodology. Special attention is paid to optimization of information management of a logistic company (8th and 9th stages within the framework of the above-mentioned policy of optimization of logistic business) with the use of innovative technologies Big Data and Data Mining. Results. Taking into account the negative influence of the global, national and sectoral factors of management, the authors, taking into account the current political and macroeconomic crisis, offered a comprehensive policy of optimizing logistic business (consisting of 9 detailed stages) as an integral part of the anti-crisis policy of the logistic company. Taking into account the specialty chosen by the authors (Mathematical methods, models and information technologies in the economy), within the framework of which scientific research is carried out, special attention is paid to optimization of information management of a logistic company (8th and Математичні методи, моделі та інформаційні технології в економіці ISSN 2522-9273; e-ISSN 2616-5236 122 http://eh.udpu.edu.ua № 3(6)'2018 Економічні горизонти9th stages within the framework of the above-mentioned policy of optimization of logistic business) with the use of innovative technologies Big Data and Data Mining. Practical meaning. The obtained results are relevant and applicable not only for local logistic companies, but also for international applications in the context of projected global macroeconomic and current national crisis phenomena. Prospects for further research. The prospect of further practical use of the obtained results confirms that the above results have already been used by the authors in designing an adaptive logistic information system for domestic companies, and the manuscript of authors' design decisions has already been submitted for publication and review.