The article contains the analitics of the results of the Moscow Halal Expo 2016 event, organized by Alif Consult LLC
Russia's agriculture produces around 3.7 per cent of the country's GDP, employs 9.2 per cent of the national workforce and contributes around 6 per cent of the country's exports. The sector has shown remarkable resilience in the face of wider economic turbulence. Self‐sufficiency rates for the main agricultural commodities are relatively high. Agricultural exports have grown very significantly since 2000 especially for wheat and meslin (wheat and rye mixture). Meat production has been growing steadily, particularly in the poultry and pork sectors. Whilst the agri‐food sector has great potential to play an even more prominent role in Russia's economy, it suffers from relatively low productivity and an outdated technological base. The main drive for efficiency has come mainly from the relatively large‐scale agricultural firms, who generated more than half of the total value of agricultural output in 2016. Foreign policy instability, including economic sanctions, the devaluation of the national currency and declining economic growth have weakened the sector and caused an increase in the prices of imported goods and equipment. At the same time Russian products have replaced high value‐added imports and Russia's agricultural producers are expanding into new markets.
Aquaculture is nowadays one of the fastest growing sectors of the economy. In Russia, however, the volume of aquaculture production is low due to several factors. At the same time, the key regulatory documents of the Federal level pay great attention to the fishery industry, ambitious goals to increase production and exports are set. The implementation of aquaculture development programs should be based, among other things, on the introduction of new technologies, the development of scientific and technological potential and the adaptation of the experience of foreign countries. Planning the development of any industry in the modern world should be comprehensive and systematic, and determining promising technological solutions and management practices requires contemporary and accurate analytical tools. This article proposes the use of strategic analytics as a conceptual approach to the data analysis in terms of their current volume and diversification level. It is proposed to use the iFora big data mining system developed by the HSE as a tool for analysing promising trends in the development of the aquaculture industry. The article proposes the use of semantic analysis of large amounts of textual information as the main method. The proposed methodology will be used in the analysis of the aquaculture industry in subsequent publications.
The rapidly increasing heterogeneous information volumes make it acute to generalize large amounts of data in order to be able to make strategically proper decisions. Information flows aggregation using traditional analytical tools is becoming difficult. As a result, a lot of new automated data analysis applications, including text-mining tools, are developing. The system of intellectual text data analysis iFORA, developed in ISSEK NRU HSE, is an example of such tool. iFORA capabilities are demonstrated on the beet sugar analysis case.
The article deals with an exigent problem of choosing a strategy for industry development, considering a wide range of possible government regulation measures. The definition of a limited set of most effective measures is carried out by joint application of SWOT-analysis and the hierarchy analysis method (AHP). Illustrations of this approach are demonstrated in the example of an export-oriented strategy development for the Russian poultry farming. The described approach allowed a quantitative comparison of measures for assessing priorities, which would mostly contribute to an increase in exports. Among the highest-level priorities of strategic planning, which may have the greatest impact on increased export of Russian poultry products, the authors highlighted stable production rates of the industry and emergence of new markets. This group also includes measures that restrain negative consequences of possible outbreaks of avian influenza and other poultry diseases.
Effective management of scientific and technological advancement of Russian agricultural production requires the anticipating monitoring of the existing informational and analytic media in the top-priority spheres of the agriculture. Increasing necessity in the calculation and application of objective and reliable analytical data for the strategic decision making at different levels is forcing the integration of applied analytical tools into analytical systems. These tools are versatile and primarily based on the automatic data processing. The analytical system of text mining is presented as an example of intellectual data analysis and its opportunities