Quantitative techniques are methods used to analyze numerical data and make decisions based on statistical analysis. These techniques often involve mathematical models, algorithms, and statistical tools to interpret data trends, relationships, and patterns. Common applications include finance, marketing, and operations management, where data-driven insights can enhance decision-making. Examples of quantitative techniques include regression analysis, hypothesis testing, and forecasting. These methods help organizations assess performance, predict future outcomes, and optimize processes. By relying on measurable data, quantitative techniques provide a structured approach to problem-solving and improve the accuracy of predictions in various fields.