Abstract
In this paper, “Building a common concept of analytical services for analyzing structured data” was proposed to build an analytical service to provide forecasts, descriptive and comparative data summaries using modern Microsoft technologies. This service will allow users to perform flexible viewing of information, receive arbitrary data slices and perform analytical operations of drill-down, convolution, pass-through distribution, the comparison in time. With the help of data mining, it is possible to detect previously unknown, non-trivial, practically useful and accessible interpretations of knowledge that are necessary for the organization's decision-making. Also, each client can interact with the service and thus monitor the displayed analytical information. In the process of work the following tasks were solved: investigated the subject area; studied materials relating to systems and technologies for their implementation; designed service architecture and applications to configure the service; selected technologies and tools for the implementation of the system; implemented the main frame of the system; modules for interaction with analysis services, data mining (a priori algorithm) and partially a module of neural networks; a report was written and a presentation of the results was prepared; The developed service will be useful to all organizations that are interested in obtaining analytical reports and other previously unknown information on their accumulated data. For example, organizations can analyze the impact of advertising, customer segmentation, search for signs of profitable customers, analyze product preferences, forecast sales volumes, and more.
Highlights
Modern business conditions, characterized by increasingly fierce competition and instability of economic conditions, place increased demands on the speed and quality of decisions made at all levels of enterprise or organization management
The idea of neural networks was born within the framework of the theory of artificial intelligence, as a result of attempts to imitate the ability of biological nervous systems to learn and correct errors
A neural network can be represented by a directed graph with weighted connections, in which artificial neurons are vertices, and synaptic connections are arcs
Summary
Modern business conditions, characterized by increasingly fierce competition and instability of economic conditions, place increased demands on the speed and quality of decisions made at all levels of enterprise or organization management. The amount of information that must be taken into account for the formation of optimal sound decisions is steadily increasing This leads to a situation where it becomes impossible to effectively manage a company without the use of modern information tools. The necessary information can be placed on one screen In this way, users can understand the data and, the right decisions can be made and accurately. Any organization in the course of its existence accumulates a large amount of data on all types of activity both by itself and its clients. Predictive analytics is the analysis of available historical and current data, as well as the use of machine learning methods to create predictions of future behavior, preferences and needs It aims to predict future trends, especially in marketing [19]. Economic and mathematical models, as well as The basics gathered to evaluate innovation networks can be used to manage the development of innovation in the economy [21]
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