<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Integrated management digitization is an important way to boost the competitiveness of commercial management enterprises. In this paper, we first design the functional architecture and system deployment of the commercial management enterprise digital system, including digital operation management, commercial operation data mining analysis, and other functional modules to meet the commercial operation management needs of commercial complexes, office buildings, and urban integrated operation business. The K-means clustering algorithm is then improved by using a particle swarm algorithm that is based on it. Specifically, the distribution estimation algorithm and stagnation perturbation strategy are used to update the population information and control the particle position boundary. Then, the greedy approach is used to select the advantageous particles. Then, the digital unified construction system of the commercial management enterprise is finally constructed to realize the data mining function of the operation and management and to assist the enterprise in carrying out customer management, property rights management, scientific decision-making, risk assessment, and so on. Finally, after testing the data analysis performance of the system, the business performance of the W commercial management group company that uses the system of this paper for digital transformation is analyzed. It is found that the accuracy of this paper's algorithm is the same as the PSO-Kmeans method. Still, the number of iterations of this paper's algorithm is the least; the lowest is only 14 times, and the optimization of efficiency is significant. The return on net assets and the net sales margin of W Commercial Management improved from 15.8% and 28.12% in 2016 to 20.20% and 28.12% in 2023. The debt repayment and operation ability are also optimized substantially, and the system designed in this paper The effectiveness of the developed system is proved. This study provides a proven solution for the digital transformation of commercial management enterprises and improves the operational efficiency of commercial management.</p>
</abstract>

Integrated management digitization is an important way to boost the competitiveness of commercial management enterprises. In this paper, we first design the functional architecture and system deployment of the commercial management enterprise digital system, including digital operation management, commercial operation data mining analysis, and other functional modules to meet the commercial operation management needs of commercial complexes, office buildings, and urban integrated operation business. The K-means clustering algorithm is then improved by using a particle swarm algorithm that is based on it. Specifically, the distribution estimation algorithm and stagnation perturbation strategy are used to update the population information and control the particle position boundary. Then, the greedy approach is used to select the advantageous particles. Then, the digital unified construction system of the commercial management enterprise is finally constructed to realize the data mining function of the operation and management and to assist the enterprise in carrying out customer management, property rights management, scientific decision-making, risk assessment, and so on. Finally, after testing the data analysis performance of the system, the business performance of the W commercial management group company that uses the system of this paper for digital transformation is analyzed. It is found that the accuracy of this paper's algorithm is the same as the PSO-Kmeans method. Still, the number of iterations of this paper's algorithm is the least; the lowest is only 14 times, and the optimization of efficiency is significant. The return on net assets and the net sales margin of W Commercial Management improved from 15.8% and 28.12% in 2016 to 20.20% and 28.12% in 2023. The debt repayment and operation ability are also optimized substantially, and the system designed in this paper The effectiveness of the developed system is proved. This study provides a proven solution for the digital transformation of commercial management enterprises and improves the operational efficiency of commercial management.

The Impact of Big Data-Driven Industrial Digital Unification System on Commercial Management Operational Efficiency

R & D Industrial Center, CCCC Investment Company Ltd

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Integrated management digitization is an important way to boost the competitiveness of commercial management enterprises. In this paper, we first design the...

The Impact of Big Data-Driven Industrial Digital Unification System on Commercial Management Operational Efficiency

Online veröffentlicht: 05. Juli 2024

Seitenbereich: -

Eingereicht: 03. März 2024

Akzeptiert: 18. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1716

Schlüsselwörter
Data mining, K-means, PSO, Stagnation perturbation strategy, Commercial management operation

© 2024 Mengyuan Maowu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Impact of Big Data-Driven Industrial Digital Unification System on Commercial Management Operational Efficiency

Online veröffentlicht: 05. Juli 2024

Seitenbereich: -

Eingereicht: 03. März 2024

Akzeptiert: 18. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1716

SchlüsselwörterData mining, K-means, PSO, Stagnation perturbation strategy, Commercial management operation

© 2024 Mengyuan Maowu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Data mining, K-means, PSO, Stagnation perturbation strategy, Commercial management operation