INTELLIGENT DATA ANALYSIS VS CLASSIC BUSINESS ANALYTICS: CURRENT TRENDS

The work presents an integrative analysis of sources, which allows identifying modern trends in the development of business analysis methods, technologies, and tools. It is proven that there is a tendency to introduce new approaches in business analysis at all levels of corporate management, which allow to move from reactive to proactive analysis, from static to dynamic data, from analysis based on historical data, to operational analysis. The work describes the methods and practical implementation of methods that allow you to implement: processing of large data in various formats that are added at a high speed, new algorithmic solutions in the field of machine learning (ML), intelligent data analysis (DM), cognitive computing, natural language processing (NLP) and deep learning (DL), mobile analytics applications, data visualization technologies, cloud technologies, real-time analytics and more.