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Academic Journal of Business & Management, 2022, 4(1); doi: 10.25236/AJBM.2022.040113.

The Application of BDT in Enterprise Strategic Management


Bei Zhao1, Jingjing Du1, Wei Gao2

Corresponding Author:
Bei Zhao

1Haojing College of Shaanxi University of Science & Technology, Xi’an, Shaanxi, China

2Xianyang Branch, Shaanxi Broadcast & TV Network Intermediary (Group) Co., LTD, Xianyang, Shaanxi, China


With the rapid development of our country's economy, our country's major enterprises have also paid more and more attention to strategic management. Especially in the context of the current important support for the widespread application of BDT(big data technology), the data revolution has quietly begun, which not only helps to optimize the enterprise management environment to a large extent, but also further improves the management efficiency of the enterprise. This article expounds the related concepts of BDT, analyzes the shortcomings of BDT in the current strategic management of enterprises in our country, and finally puts forward an effective way to apply BDT to enterprise strategic management through related research. By using BDT, companies can improve the accuracy of strategy formulation, better improve their own management efficiency, and reduce the workload of employees. However, for some small and medium-sized enterprises, due to the lack of big data technical talents, it is difficult to give full play to this technological advantage, which affects the improvement of their own market competitiveness. Therefore, it is necessary to study the application of BDT in corporate strategic management, take effective measures to solve the current problems in corporate strategic management, improve the level of corporate strategic management, and make improvements for the sustainable development of the company. Based on the above analysis, we can know that making full use of big data-related technologies in corporate strategic management can effectively optimize the internal strategic management environment and efficiency of the enterprise.


Enterprise, Strategic management, BDT, Enterprise optimization, Development trend

Cite This Paper

Bei Zhao, Jingjing Du, Wei Gao. The Application of BDT in Enterprise Strategic Management. Academic Journal of Business & Management (2022) Vol. 4, Issue 1: 73-77. https://doi.org/10.25236/AJBM.2022.040113.


[1] Lotesta J. The myth of the business friendly economy: making neoliberal reforms in the worst state for business [J]. American Journal of Cultural Sociology, 2019, 7(2):214-245.

[2] Almonroeder T G, Tighe S M, Miller T M, et al. The influence of fatigue on decision-making in athletes: a systematic review [J]. Sports Biomechanics, 2020, 19(1):76-89.

[3] Piatnytska G T, Shevchun M B. The Logistic Processes in Trade: Systematizing Scientific Views and Assessing the Impact on Enterprise Management [J]. Business Inform, 2020, 7(510):322-330.

[4] Bondar-Podhurskaya O V, Khomenko I I, Karangwa C. The Scientific-Methodological Aspects of Assessing the Efficiency of Innovative Enterprise Management in the Context of Achieving Sustainable Development Goals [J]. Business Inform, 2020, 9(512):172-180.

[5] Machuga R. Factors determining the use of cloud computing in enterprise management in the EU (considering the type of economic activity) [J]. Problems and Perspectives in Management, 2020, 18(3):93-105.

[6] Batkovskiy M, Kravchuk P, Sudakov V, et al. Development of Enterprise Management Tools Radio-electronic Industry in Their Conditions Diversifications [J]. Bulletin of Science and Practice, 2020, 6(3):245-251.

[7] Szmitka S. THE IDEA OF FRANCHISE AS A MODERN CONCEPT OF ENTERPRISE MANAGEMENT: THE EXPERIENCE OF POLAND [J]. Journal of European Economy, 2020, 19(Vol 19, No 2 (2020)):265-282.

[8] Kostyukhin Y Y, Moseykin Y N. Methodological provisions for the formation of an industrial enterprise management system based on the use of its potential [J]. RUDN Journal of Economics, 2020, 28(1):110-122.

[9] Chen Y T, Sun E W, Lin Y B. Coherent quality management for big data systems: a dynamic approach for stochastic time consistency [J]. Annals of Operations Research, 2019, 277(1):3-32.

[10] Fang X, Luo J, Luo G, et al. Big Data Transmission in Industrial IoT Systems With Small Capacitor Supplying Energy[J]. IEEE transactions on industrial informatics, 2019, 15(4):2360-2371.

[11] Gounaris C E, Grossmann I E. A preface to the special issue on enterprise-wide optimization [J]. Optimization and Engineering, 2019, 20(4):965-968.

[12] Egorov M V, Polivanov G B. Optimization of enterprise business processes on the basis of improvement of logistics [J]. Youth Science Forum Journal, 2020, 1(2):49-55.

[13] Ma Xinliang. On how to strengthen corporate strategic management under the new economic environment [J] Marketing (Theory and Practice) 2020, (7): 176-177.