AI-Powered Advanced Analytics: Transforming Data into Strategic Insights

This scholarly article explores the transformative impact of artificial intelligence on advanced analytics across various business domains. The article examines how AI-powered analytics has evolved from descriptive approaches to predictive and prescriptive capabilities, enabling organizations to extract unprecedented value from data. Through a comprehensive analysis of research findings, the article investigates four key areas: the evolution of machine learning in business intelligence, predictive analytics for forecasting business outcomes, natural language processing for unstructured data analysis, and deep learning applications in complex analytics scenarios. Each section provides detailed insights into implementation approaches, performance improvements, and business value creation across industries, including finance, healthcare, manufacturing, and retail. The article demonstrates how these technologies are fundamentally reshaping organizational decision-making processes, operational efficiency, customer experience, and competitive positioning in the digital economy.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-16
DOI
https://doi.org/10.5281/zenodo.16886856
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Powered Advanced Analytics: Transforming Data into Strategic Insights

Zenodo (CERN European Organization for Nuclear Research)
Computational Physics and Python Applications
article

AI-Powered Advanced Analytics: Transforming Data into Strategic Insights

article en

Abstract

This scholarly article explores the transformative impact of artificial intelligence on advanced analytics across various business domains. The article examines how AI-powered analytics has evolved from descriptive approaches to predictive and prescriptive capabilities, enabling organizations to extract unprecedented value from data. Through a comprehensive analysis of research findings, the article investigates four key areas: the evolution of machine learning in business intelligence, predictive analytics for forecasting business outcomes, natural language processing for unstructured data analysis, and deep learning applications in complex analytics scenarios. Each section provides detailed insights into implementation approaches, performance improvements, and business value creation across industries, including finance, healthcare, manufacturing, and retail. The article demonstrates how these technologies are fundamentally reshaping organizational decision-making processes, operational efficiency, customer experience, and competitive positioning in the digital economy.

Zenodo (CERN European Organization for Nuclear Research)
Amgen (United States) (US)
Openalex Percentile: Top 75%
Computational Physics and Python Applications
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AI-Powered Advanced Analytics: Transforming Data into Strategic Insights · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS