The Future of Handling Missing Data in Large Datasets: A Strategic Leap Forward

Indah27 Jun, 2025Education

As data-driven decision-making becomes increasingly central to industries and academia alike, the issue of missing data continues to pose significant challenges, particularly within large-scale datasets. From healthcare systems and financial institutions to digital marketing and scientific research, the quality of analysis often hinges on how missing data is handled. As we look toward the future, advancements in artificial intelligence (AI), statistical modeling, and cloud computing are reshaping this crucial data preprocessing step.