Features that analytical software must have: 1. Easy to understand and use UI. 2. Terminology used for UI must have commonly used terms. 3. Use low code or no code approach for user to play with data. 4. Ensure backward and forward integrations are possible. 5. Ensure that migration documentation is released with every update.

I believe machine learning, predictive analytics, and statistical analysis tools are essential for gaining deeper insights into trends and patterns. These features empower me to make more informed, data-driven decisions. Additionally, the ability to integrate with various data sources, tools, and systems is crucial. It allows me to pull data from multiple touchpoints, giving me a comprehensive view and enhancing the overall analysis.

Essential Features for Non-Technical Users: # User-Friendly Interface: Intuitive design for easy navigation and learning curve. # Drag-and-Drop Functionality: Simplified data preparation and visualization. # Pre-built Templates: Quick access to common analysis templates. # Natural Language Processing: Ability to query data using plain language. # Automated Insights: Automatic identification of trends and patterns. # Interactive Dashboards: Dynamic visualizations for real-time insights. # Collaboration Features: Tools for sharing insights and working together. # Robust Security: Protection of sensitive data. # Excellent Customer Support: Timely assistance and guidance.