THE IMPORTANCE OF DATA SCIENCE IN THE DIGITAL TRANSFORMATION OF THE UZBEKISTAN ECONOMY: EMPIRICAL ANALYSIS AND SCIENTIFIC APPROACHES

The digital transformation of economies worldwide has placed data science at the forefront of innovation and efficiency. For Uzbekistan, a country transitioning from a resource-dependent to a knowledge-based economy, the integration of data science is critical to achieving sustainable growth and competitiveness. This study examines the role of data science in Uzbekistan's digital transformation through empirical analysis and scientific approaches. Using a mixed-methods approach, including surveys, interviews, and case studies, the research identifies key barriers and enablers of data science adoption across sectors such as finance, healthcare, and agriculture.

Authors

Institutions

Publication Details

Journal
International Journal of Economics and Innovative Technologies
Published
2025-02-28
DOI
https://doi.org/10.55439/eit/vol13_iss1/645
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE IMPORTANCE OF DATA SCIENCE IN THE DIGITAL TRANSFORMATION OF THE UZBEKISTAN ECONOMY: EMPIRICAL ANALYSIS AND SCIENTIFIC APPROACHES

Абдуллаев Мунис Курбонович, Kungratov Ilmurod Kuzibay ugli
International Journal of Economics and Innovative Technologies
FinTech, Crowdfunding, Digital Finance
article

THE IMPORTANCE OF DATA SCIENCE IN THE DIGITAL TRANSFORMATION OF THE UZBEKISTAN ECONOMY: EMPIRICAL ANALYSIS AND SCIENTIFIC APPROACHES

Абдуллаев Мунис Курбонович, Kungratov Ilmurod Kuzibay ugli
article en

Abstract

The digital transformation of economies worldwide has placed data science at the forefront of innovation and efficiency. For Uzbekistan, a country transitioning from a resource-dependent to a knowledge-based economy, the integration of data science is critical to achieving sustainable growth and competitiveness. This study examines the role of data science in Uzbekistan's digital transformation through empirical analysis and scientific approaches. Using a mixed-methods approach, including surveys, interviews, and case studies, the research identifies key barriers and enablers of data science adoption across sectors such as finance, healthcare, and agriculture.

International Journal of Economics and Innovative TechnologiesVol. 13(1)
Tashkent State University of Economics (UZ)
Openalex Percentile: Top 93%
FinTech, Crowdfunding, Digital Finance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.