The financial industry uses big data analysis for risk assessment, fraud detection and market forecasting. Financial institutions can identify abnormal behavior, optimize investment strategies and improve risk management through the analysis of transaction data.
4.4 Intelligent transportation
Intelligent transportation systems optimize traffic flow, reduce congestion and improve road safety through big data analysis. For example, by analyzing traffic flow data, cities can formulate traffic management policies and improve public transportation services.
5. How to become a big data analysis professional
Education requirements
Usually, big data analysis professionals need to have a bachelor’s or master’s degree in computer Lesotho Email List science, statistics, mathematics and other related fields. Some senior positions may require a relevant doctoral degree or extensive work experience.
