Despite its importance, data comprehension poses several challenges:
Data Quality: Ensuring the accuracy and reliability of data is crucial for meaningful analysis. Data Overload: Managing and filtering vast amounts of data to find relevant information. Security and Privacy: Protecting sensitive data from breaches while complying with regulations. Integration Issues: Combining data from various sources into a cohesive analysis.