We use various mathematical models and statistical techniques such as descriptive statistics, correlation, regression analysis, multivariate analysis, structural equation modeling (SEM), principal component analysis (PCA), panel and logistic data, and predictive analytics machine learning algorithms using various statistical tools to understand the relationships between different variables in a dataset to make decisions more effectively.