Development of Predictive Analytics Models for Improving Business Perfomances Using NoSQL Databases

Technological breakthroughs, scientific discoveries and digitalization of the 21st century have contributed to the growth of the share of high-tech companies in the market and their dynamic development. Digital business transformation has become the main driving force in today's market. For technology companies, the use of modern methods and tools to support these processes in order to increase the efficiency of their activities is necessary in the context of digital transformation. According to a 2017 MemSQL study on the use of artificial intelligence, 88% of the 1,600 companies surveyed have already started implementing machine learning technologies or plan to start soon. The trend of using artificial intelligence technologies and machine learning technologies is also typical for Russia. In 2017, analysts at TAdviser predicted market growth of up to 28 billion rubles. Current research confirms the forecasts of previous years. According to IDC estimates, the volume of the Russian artificial intelligence market amounted to 291 million US dollars. The relevance of this study is due to the fact that in the context of digital transformation, IT companies need to implement modern technologies to develop and maintain a competitive advantage. The object of the study is an IT company in the telecommunications industry. The subject of the study is the effectiveness of the sales planning process of an IT company. The purpose of this study is to develop predictive sales models to improve the efficiency of the company under study.