Data are the foundation of quantitative analysis and managerial decision-making. The quality of business decisions depends largely on the accuracy, reliability, and relevance of the data used. Data are broadly classified into primary data and secondary data, each serving different purposes in research and managerial applications. Primary data are original data collected by the researcher directly from the source for a specific research objective. These data are gathered for the first time and are tailored to meet the precise requirements of the study. Since they are collected specifically for the current investigation, they are generally more relevant and accurate for the research problem. However, collecting primary data is often time-consuming, expensive, and requires careful planning and execution. Secondary data are data that have already been collected, processed, and published by other individuals, organizations, or institutions for purposes different from the current study. These data may be obtained from government publications, research reports, company records, journals, books, websites, trade associations, census reports, and international organizations. Secondary data are economical and quickly available, but they may not exactly match the objectives of the present research and may sometimes be outdated. The major differences between primary and secondary data are based on source, purpose, cost, time, accuracy, and suitability. Primary data are