Navigating the Nexus of Digital Transformation and Business Intelligence: Impact and Innovations in Finance and Retail Sectors

Digital transformation (DT) and business intelligence (BI) are critical drivers of competitiveness and innovation in the finance and retail sectors. In this review, the current research evidence on how DT projects with added BI tools and technologies influence business performance, customer satisfaction, and operational effectiveness is discussed. Improvement in performance aside, concern areas remain inthe context of data integration, security, and organizational readiness. This research presents a conceptual framework representing central factors to successful DT-BI integration and suggests empirical findings supporting improved business performance. Future research directions aim at leveraging novel AI technologies and ethics dilemmas to better achieve the advantages of DT and BI. This paper offers insights useful to researchers and practitioners interested in mapping the intricate digital business landscape of the finance and retail industries.

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Publication Details

Journal
International Research Journal on Advanced Engineering Hub (IRJAEH)
Published
2025-06-27
DOI
https://doi.org/10.47392/irjaeh.2025.0438
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Navigating the Nexus of Digital Transformation and Business Intelligence: Impact and Innovations in Finance and Retail Sectors

Laxmi Vanam
1 links
International Research Journal on Advanced Engineering Hub (IRJAEH)
Big Data and Business Intelligence
article

Navigating the Nexus of Digital Transformation and Business Intelligence: Impact and Innovations in Finance and Retail Sectors

Laxmi Vanam
article en

Abstract

Digital transformation (DT) and business intelligence (BI) are critical drivers of competitiveness and innovation in the finance and retail sectors. In this review, the current research evidence on how DT projects with added BI tools and technologies influence business performance, customer satisfaction, and operational effectiveness is discussed. Improvement in performance aside, concern areas remain inthe context of data integration, security, and organizational readiness. This research presents a conceptual framework representing central factors to successful DT-BI integration and suggests empirical findings supporting improved business performance. Future research directions aim at leveraging novel AI technologies and ethics dilemmas to better achieve the advantages of DT and BI. This paper offers insights useful to researchers and practitioners interested in mapping the intricate digital business landscape of the finance and retail industries.

International Research Journal on Advanced Engineering Hub (IRJAEH)Vol. 3(06)
Oldham Council (GB)
Openalex Percentile: Top 74%
Big Data and Business Intelligence
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