The significance of the "law of large numbers" in data analytics lies in its ability to provide reliable statistical estimates as sample sizes increase. This law states that the average of a large sample will converge to the expected value, reducing variability and enhancing forecast accuracy. In analytics, applying this principle allows businesses to make more informed decisions based on extensive data sets rather than outliers. Consequently, the law of large numbers underpins many probabilistic models and risk assessments in data-driven strategies.