Analytics revolution in pharmaceutical industry: A technical perspective

The pharmaceutical industry is experiencing a transformative revolution through the integration of advanced analytics capabilities across its value chain. This comprehensive article explores how data-driven methodologies and analytical tools are revolutionizing various aspects of pharmaceutical operations, from drug discovery to patient care. The article encompasses computational drug discovery, clinical trial optimization, manufacturing analytics, supply chain optimization, personalized medicine, sustainability analytics, and technical infrastructure requirements. The implementation of artificial intelligence, machine learning, and big data analytics has significantly improved operational efficiency, reduced costs, enhanced quality control, and accelerated drug development processes. These technological advancements have enabled more precise patient stratification, improved treatment outcomes, and fostered sustainable manufacturing practices while ensuring regulatory compliance and data security.

Authors

Publication Details

Journal
International Journal of Science and Research Archive
Published
2025-02-12
DOI
https://doi.org/10.30574/ijsra.2025.14.2.0283
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Analytics revolution in pharmaceutical industry: A technical perspective

Venkata Siva Prasad Maddala
International Journal of Science and Research Archive
Big Data and Business Intelligence
article

Analytics revolution in pharmaceutical industry: A technical perspective

Venkata Siva Prasad Maddala
article en

Abstract

The pharmaceutical industry is experiencing a transformative revolution through the integration of advanced analytics capabilities across its value chain. This comprehensive article explores how data-driven methodologies and analytical tools are revolutionizing various aspects of pharmaceutical operations, from drug discovery to patient care. The article encompasses computational drug discovery, clinical trial optimization, manufacturing analytics, supply chain optimization, personalized medicine, sustainability analytics, and technical infrastructure requirements. The implementation of artificial intelligence, machine learning, and big data analytics has significantly improved operational efficiency, reduced costs, enhanced quality control, and accelerated drug development processes. These technological advancements have enabled more precise patient stratification, improved treatment outcomes, and fostered sustainable manufacturing practices while ensuring regulatory compliance and data security.

International Journal of Science and Research ArchiveVol. 14(2)
Openalex Percentile: Top 97%
Big Data and Business Intelligence
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