Optimizing Business Decision-Making Using Intelligent Information Systems: A Quantitative Approach

The integration of intelligent information systems (AIS) in the business environment has significantly transformed decision-making processes. This article explores how artificial intelligence (AI) and quantitative data analytics boost efficiency and accuracy in business management. The impact of these technologies on strategic planning, process optimization, and market adaptation is analyzed, supported by recent studies and case studies.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-03-06
DOI
https://doi.org/10.52783/jisem.v10i16s.2622
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing Business Decision-Making Using Intelligent Information Systems: A Quantitative Approach

Carlos Velasco
Journal of Information Systems Engineering & Management
Big Data and Business Intelligence
article

Optimizing Business Decision-Making Using Intelligent Information Systems: A Quantitative Approach

Carlos Velasco
article en

Abstract

The integration of intelligent information systems (AIS) in the business environment has significantly transformed decision-making processes. This article explores how artificial intelligence (AI) and quantitative data analytics boost efficiency and accuracy in business management. The impact of these technologies on strategic planning, process optimization, and market adaptation is analyzed, supported by recent studies and case studies.

Journal of Information Systems Engineering & ManagementVol. 10(16s)
Openalex Percentile: Top 94%
Big Data and Business Intelligence
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Optimizing Business Decision-Making Using Intelligent Information Systems: A Quantitative Approach — Carlos Velasco · Journal of Information Systems Engineering & Management (2025) | TGRS Research Map | TGRS