Kutsenko Irina Livovna (candidate of physical and mathematical science, associate professor, People’s Friendship University of Russia (PFUR))
Pavlova Natalia Gennadievna (candidate of physical and mathematical science, associate professor, People’s Friendship University of Russia (PFUR))
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The article considers multidimensional data analysis with using of OLAP technologies based on the example of the insurance company. The problem of predictive modeling using OLAP cubes and application of multidimensional data analysis in the insurance model with various insurance sums and partial losses are considered. As an analytical task is set up to calculate the net rate and gross rate and analyze the moving average of insurance company.
Keywords:Database, predicting in the insurance system, OPLAP technology, net rate, gross rate, loss-making company, moving average, standard deviation, insured sums, partial losses.
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Read the full article …
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Citation link:
Kutsenko I. L., Pavlova N. G. Optimization of data processing based on predictive modeling // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2018. -№04. -С. 66-71 |
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