Part 4/18:
Structural noise, such as schema drift and variations in data granularity, also pose significant challenges. When data structures evolve or differ, the resulting analyses can become skewed, misinforming decision-makers. The core lesson is that without careful management, increasing data volume can lead to noisy, unreliable insights.