Technological tools for data analysis include software and platforms like Excel, Tableau, and programming languages such as Python and R. These tools facilitate data cleaning, manipulation, and visualization, which are essential for extracting meaningful insights from large datasets. Other important tools are SQL for database management and Power BI for business intelligence reporting. Additionally, machine learning frameworks like TensorFlow and scikit-learn are increasingly used for predictive analytics and more complex analyses. The choice of tools often depends on the type and volume of data being analyzed.