Advancing decision-making: the role of management analytics in modern business practices

Introduction. Management analytics is an evolving field that has gained substantial traction in both academia and industry due to its profound impact on decision-making processes. The inte-gration into decision making of advanced information technologies and AI drive innovative solutions within management analytics. Evolution of Management Analytics. The discipline integrates statistical analysis, predictive modeling, and data visualization to optimize business strategies, operational efficiency, and financial performance. As management practices advance, they contribute new dimensions to data collection and analysis, presenting unique opportunities to boost nanotechnologies. Methodological Advances in Management Analytics. This study explores the transformative effects of management analytics across diverse sectors by illustrating its evolution and interpreting its methodologies with special focus on nanotechnologies. Applications in Different Sectors. Management analytics significantly enhances decision-making through sophisticated data analysis, offering strategic insights that propel efficiency and competitiveness. The use of management analytics in nanotechnologies raises questions regarding ethical implications and regulatory considerations. Challenges and Future Directions. However, integration complexities, data security, and the need for skilled personnel pose ongoing challenges. Conclusion. This review provides insights into the potentials of the development of management analytics and its importance in contemporary management.

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Publication Details

Journal
Nanotechnologies in Construction A Scientific Internet-Journal
Published
2024-10-31
DOI
https://doi.org/10.15828/2075-8545-2024-16-5-431-440
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53
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Advancing decision-making: the role of management analytics in modern business practices

Yang Lei, Zhanna Pisarenko, L.A. Ivanov, Yunsheng Lu et al.
1 citations
Nanotechnologies in Construction A Scientific Internet-Journal
Big Data and Business Intelligence
0.53
article

Advancing decision-making: the role of management analytics in modern business practices

Yang Lei, Zhanna Pisarenko, L.A. Ivanov, Yunsheng Lu, C. Ye
article en
1 citations

Abstract

Introduction. Management analytics is an evolving field that has gained substantial traction in both academia and industry due to its profound impact on decision-making processes. The inte-gration into decision making of advanced information technologies and AI drive innovative solutions within management analytics. Evolution of Management Analytics. The discipline integrates statistical analysis, predictive modeling, and data visualization to optimize business strategies, operational efficiency, and financial performance. As management practices advance, they contribute new dimensions to data collection and analysis, presenting unique opportunities to boost nanotechnologies. Methodological Advances in Management Analytics. This study explores the transformative effects of management analytics across diverse sectors by illustrating its evolution and interpreting its methodologies with special focus on nanotechnologies. Applications in Different Sectors. Management analytics significantly enhances decision-making through sophisticated data analysis, offering strategic insights that propel efficiency and competitiveness. The use of management analytics in nanotechnologies raises questions regarding ethical implications and regulatory considerations. Challenges and Future Directions. However, integration complexities, data security, and the need for skilled personnel pose ongoing challenges. Conclusion. This review provides insights into the potentials of the development of management analytics and its importance in contemporary management.

Nanotechnologies in Construction A Scientific Internet-JournalVol. 16(5)
Peace, Justice and strong institutions
Openalex Percentile: Top 25%
Big Data and Business Intelligence
0.53
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