BIG DATA AND ITS PROCESSING USING STATISTICAL METHODS
DOI:
https://doi.org/10.55640/Keywords:
Big Data, statistical analysis, data processing, descriptive statistics, inferential statistics, regression analysis, clustering, data mining, analytical methods, data volume, digital economy, forecasting, , data quality.Abstract
This article discusses the concept of Big Data, which is highly relevant in the current era, its main characteristics, and the processes of processing it using statistical methods. Due to the volume, velocity, and variety of Big Data, traditional analysis methods are insufficient, making it necessary to use specialized technologies and statistical methods for processing. The article analyzes the possibilities of deriving practical conclusions from Big Data using methods such as descriptive statistics, regression analysis, hypothesis testing, and clustering. Additionally, examples are provided of the application of Big Data in economics, medicine, marketing, banking, and public administration. The results show that effective use of Big Data is a key factor in optimizing management decisions and increasing competitiveness.
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