What challenges does the emergence of big data technology bring to the traditional decision-making logic and decision-making culture?
First, since entering the era of big data, corporate decision-making no longer relies on a few people in the enterprise, requiring all the people in the enterprise to participate in corporate decision-making. Therefore, enterprises must update the decision-making organization and decision-making culture in a timely manner. In general, the decision-making organization within the enterprise includes both centralized and decentralized. The centralized organization emphasizes a stable environment, while the decentralized organization can be applied in unstable environment, which can adapt to various environments. After the introduction of big data technology, the decentralized decision-making organization has stronger information processing and processing ability, which effectively influences the formulation of correct decisions. In addition, the decision-making environment based on big data technology is also in the process of continuous development and change, which is obviously decentralized, so the senior leadership will not be centralized, and thus the decentralized decision-making structure can be widely used. Second, the decision-making power of enterprises is influenced by the decision-making culture of enterprises. Since entering the era of big data, a new type of cultural point of view has been gradually formed in the enterprise, and the enterprise decision-making culture has been continuously enriched and developed. (1) the logic of enterprise decision-making has changed, the role of collecting and applying information in decision-making is increasingly important, enterprises gradually recognize the importance of decision-making by all employees, and attach great importance to the opinions put forward by the majority of employees; (2) enterprises put the cultivation of data analysis professionals in an important position, and utilize a variety of preferential measures to support the enterprise's internal staff to improve their own data application capabilities, which promotes the smooth development of the enterprise decision-making culture. This has contributed to the smooth development of the corporate decision-making culture.