Role of Data Management using Adaptive Heterogeneous Structural Equation Modeling: Verticals of Physics

Data is the most significant factor in production, next to labor, land, and capital. It concerns the management and sharing of data and experience for an structural network's development. Data Management (DM) has become more important in the competitive market world for sustainable structural development. Data Management (DM) is the process for integrating structural data for the Data management long-term gain. This is focused on strategic planning requiring the development and support of multiple data-centric management processes. Hence, in this paper, Adaptive Heterogeneous Structural Equation Modeling (AHSEM) - A physics vertical has been proposed to develop effective strategic Data management planning for an structural network based on the data management process. This paper indicates that the lack of a well-defined development strategy to guide implementation is a significant cause of several DM initiatives' failure. This paper explores the strategic planning requirements of the DM implementation process and develops a structure that companies may use directly to manage implementation. The numerical results show a high-performance ratio when compared to other existing methods.

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Published
2024-12-12
DOI
https://doi.org/10.1109/icercs63125.2024.10895409
Primary Topic
Advanced Data Processing Techniques
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article
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article

Role of Data Management using Adaptive Heterogeneous Structural Equation Modeling: Verticals of Physics

Sunita Dhote, Prakash Bhongade, Rajas Dhote
Advanced Data Processing Techniques
article

Role of Data Management using Adaptive Heterogeneous Structural Equation Modeling: Verticals of Physics

Sunita Dhote, Prakash Bhongade, Rajas Dhote
article en

Abstract

Data is the most significant factor in production, next to labor, land, and capital. It concerns the management and sharing of data and experience for an structural network's development. Data Management (DM) has become more important in the competitive market world for sustainable structural development. Data Management (DM) is the process for integrating structural data for the Data management long-term gain. This is focused on strategic planning requiring the development and support of multiple data-centric management processes. Hence, in this paper, Adaptive Heterogeneous Structural Equation Modeling (AHSEM) - A physics vertical has been proposed to develop effective strategic Data management planning for an structural network based on the data management process. This paper indicates that the lack of a well-defined development strategy to guide implementation is a significant cause of several DM initiatives' failure. This paper explores the strategic planning requirements of the DM implementation process and develops a structure that companies may use directly to manage implementation. The numerical results show a high-performance ratio when compared to other existing methods.

Symbiosis International University (IN)
Climate action
Openalex Percentile: Top 65%
Advanced Data Processing Techniques
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