Enhancing Enterprise Financial Management Through Mobile Edge Computing: A Real-Time Financial Analysis Approach

Abstract

Businesses are counting more and more on advanced computer technologies to make their financial operations run more smoothly in this age of digital change. Mobile edge computing (MEC) is quickly becoming popular and is now a key part of real-time financial analysis. It also provides unique chances to improve the speed of decision-making and the flexibility of corporate financial management systems. This essay looks at how MEC could help with on-the-spot data processing, which would let businesses do real-time financial analysis at the edge of their networks instead of depending only on centralized cloud services. By putting computer power closer to the data source, mobile edge computing greatly lowers delay. This makes it possible to analyze financial data more quickly and accurately. Businesses can get up-to-date information on their finances this way, which lets them react quickly to changes in the market and make smart choices. The paper also looks into how MEC can be added to current financial management systems and lists its benefits, including better scalability, cost-effectiveness, and operating efficiency. The study also looks at some real-life examples of how MEC has been used successfully, such as real-time planning, cash flow analysis, and risk management. The study also talks about the privacy and security issues that come up when real-time financial data is processed at the edge and suggests ways to fix these problems.