Challenges and Countermeasures of Enterprise Operation and Management in the Big Data Era

Abstract

In the wave of the digital economy, big data has become a crucial force in reshaping the operation and management models of enterprises. While it brings significant dividends to enterprises, such as enhancing the scientific nature of decision - making, optimizing business processes, and promoting product and service innovation, it also subjects enterprises to multiple challenges. At the data level, there are problems of high storage pressure, difficult - to - guarantee quality, and high security risks. At the technical level, enterprises face technical shortcomings, backward equipment, and upgrading pressure. At the talent level, they encounter shortages of professional talents, fierce competition, and insufficient skills among internal employees. At the concept level, there are phenomena of insufficient understanding of big data and lagging traditional thinking. In view of this, this paper analyzes the positive impacts and challenges of big data on enterprise operation and management, and proposes countermeasures such as strengthening data management, cultivating professional talents, changing management concepts, and adapting to environmental changes, providing a reference for enterprises to improve management efficiency and achieve sustainable development.