1. **Fragmented Tool Usage:** Companies use multiple tools for data management, which don't integrate seamlessly, causing inefficiencies and data silos. 2. **High Dependency on Analysts:** Relying on data analysts and scientists is costly and time-consuming, leading to delays in generating insights. 3. **Slow Insight Generation:** Analysts take over 6-8 hours to produce reports, resulting in outdated and less actionable insights for product managers. 4. **Shallow Insights and Bias:** The depth of insights is limited, and data interpretations can be biased, reducing the accuracy and comprehensiveness of decision-making.