Data analysis

Data analysis includes various techniques such as statistical analysis, predictive modeling and data mining, which are used to gain actionable insights from raw data. Data analytics enables companies to evaluate their performance, understand customer behavior and make data-driven decisions that lead to greater efficiency and competitiveness. In addition, data analysis significantly improves forecasting, targeting and decision-making in various areas. It helps companies to understand market trends, predict consumer preferences and adapt strategies in real time. It also plays a key role in risk management, as it enables fraud to be detected and potential threats to be identified before they escalate. Data analytics plays a crucial role in the development and integration of new technologies, especially in areas such as artificial intelligence (AI), machine learning (ML) and automation. As companies adopt these advanced technologies, data analytics helps ensure they are used effectively by providing the necessary insights and validation to implement and optimize these systems.