Data complexity refers to the intricacy and variability inherent in datasets, which can affect the efficiency and effectiveness of data processing, analysis, and interpretation. It encompasses aspects such as data volume, variety, velocity, veracity, and value, which together pose challenges for data management and algorithmic processing.