Data mining is a specialized data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, whereas business analysis involves data analysis focusing primarily on business information aggregation. it depends on. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features of the data, while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on applying statistical models to predict or classify, whereas text analytics uses statistical, linguistic and structural techniques to extract and classify information from textual sources, which are not data. All of the above are varieties of data analysis. Data mining looks for anomalies, patterns, and relationships in large data sets to predict results. Using a variety of techniques, you can use this information to increase revenue, reduce costs, improve customer relationships, reduce risk and more.