In the era of big data, analyzing entire datasets is not always practical or efficient. That’s where data sampling techniques come into play. Sampling helps data analysts draw conclusions from a manageable portion of data, saving time and resources without compromising accuracy. Whether it’s predicting consumer behavior or improving operational efficiency, understanding the right sampling technique is critical in today’s data-driven business environment.