Leveraging Artificial Intelligence in Business Analytics for Informed Strategic Decision-Making: Enhancing Operational Efficiency, Market Insights, and Competitive Advantage

Abstract In recent years, Artificial Intelligence (AI) has emerged as a transformative force in business analytics, enabling organizations to make more informed, data-driven strategic decisions. This paper explores the integration of AI in business analytics and its impact on enhancing operational efficiency, gaining market insights, and securing a competitive advantage. AI technologies like machine learning and natural language processing have revolutionized how businesses collect, analyze, and leverage data to optimize decision-making processes. By automating routine tasks and providing predictive and prescriptive insights, AI helps organizations streamline operations, understand customer behaviour, and stay ahead of market trends. However, adopting AI in business analytics also presents challenges related to data privacy, algorithmic bias, and system integration. This article discusses these challenges and provides recommendations for businesses seeking to effectively integrate AI into their strategic decision-making processes. Ultimately, AI is reshaping business operations and offering a new paradigm for making informed decisions that drive long-term growth and success.

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Publication Details

Journal
Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023
Published
2024-12-16
DOI
https://doi.org/10.60087/jaigs.v6i1.278
Citations
14
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
7.40
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article

Leveraging Artificial Intelligence in Business Analytics for Informed Strategic Decision-Making: Enhancing Operational Efficiency, Market Insights, and Competitive Advantage

SM Tamim Hossain Rimon
14 citations
Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023
Big Data and Business Intelligence
7.40
article

Leveraging Artificial Intelligence in Business Analytics for Informed Strategic Decision-Making: Enhancing Operational Efficiency, Market Insights, and Competitive Advantage

SM Tamim Hossain Rimon
article en
14 citations

Abstract

Abstract In recent years, Artificial Intelligence (AI) has emerged as a transformative force in business analytics, enabling organizations to make more informed, data-driven strategic decisions. This paper explores the integration of AI in business analytics and its impact on enhancing operational efficiency, gaining market insights, and securing a competitive advantage. AI technologies like machine learning and natural language processing have revolutionized how businesses collect, analyze, and leverage data to optimize decision-making processes. By automating routine tasks and providing predictive and prescriptive insights, AI helps organizations streamline operations, understand customer behaviour, and stay ahead of market trends. However, adopting AI in business analytics also presents challenges related to data privacy, algorithmic bias, and system integration. This article discusses these challenges and provides recommendations for businesses seeking to effectively integrate AI into their strategic decision-making processes. Ultimately, AI is reshaping business operations and offering a new paradigm for making informed decisions that drive long-term growth and success.

Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023Vol. 6(1)
Qatar University (QA)
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Big Data and Business Intelligence
7.40
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Leveraging Artificial Intelligence in Business Analytics for Informed Strategic Decision-Making: Enhancing Operational Efficiency, Market Insights, and Competitive Advantage — SM Tamim Hossain Rimon · Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023 (2024) | TGRS Research Map | TGRS