Articles
| Open Access | DATA ANALYTICS AS A FIELD: DEVELOPMENT PROCESS AND STATISTICAL INDICATORS
Shakirova Nigora Axralovna, Xoliqov Jurabek Axmad ugli , Tashkent State University of EconomicsAbstract
This article presents the development processes and statistical indicators of data analytics as a field. The study provides a detailed analysis of factors contributing to the development of data analytics, including the digital economy and innovative environment, government support and incentives, the integration of artificial intelligence (AI) and machine learning (ML), the growth of Big Data volume, and the skills and expertise of professionals. Additionally, the article highlights current challenges in the field of data analytics and ways to address them. Moreover, the article discusses the progress of data analytics and its future prospects.
Keywords
Data Analytics, Statistical Indicators, Economy and Innovation, Government Incentives, Artificial Intelligence, Machine Learning Integration, Big Data.
References
Lee, J. (2022). Big Data Analytics Capability and Firm Innovativeness: The Moderating Effect of Data-Driven Culture. Journal of Business Research.
DemandSage. (2024). Big Data Growth Statistics. https://www.demandsage.com
McKinsey & Company. (2024). Global AI Adoption Survey. https://www.mckinsey.com
GlobeNewswire. (2024). Data Analytics Market Size Report. https://www.globenewswire.com
WiFi Talents. (2024). Data Analyst Statistics and Job Demand. https://wifitalents.com/data-analyst-statistics
Statista. (2024). Global digital data volume. https://www.statista.com
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