1. Data Quality: Ensuring the accuracy and completeness of data. 2. Data Integration: Combining data from different sources. 3. Complexity: Analyzing complex and large datasets. 4. Bias: Avoiding bias in data collection and analysis. 5. Privacy: Ensuring data privacy and security.