Question: How can I get personalized insights from my research data to make better decisions?

If you want to get some personalized insights out of your research data, DataChat is a good option. This no-code generative AI platform lets you transform complex data into insights without writing any code. With a spreadsheet-chat interface, you can upload data and ask questions and get answers generated by AI. DataChat also automates data prep, exploration and modeling, so it's good for data scientists, analysts and business users who need to make decisions fast.

Another option is Avian. Avian is a generative Business Intelligence platform that uses natural language processing to make data analysis and key metric extraction easier. It provides real-time insights without storing user data and is GDPR, CCPA, and SOC/2 compliant. With features like live queries, multiple data source integration and expertly trained language models, Avian can help you find insights and take action fast, and it's a good option for enterprise customers.

ANDRE is another option, particularly if you have survey data. This AI-powered information retrieval system analyzes survey data and generates expert-level insights and narratives from raw data. It can import files from a variety of sources and offers pre-built slide decks, data visualization and a strategic insights assistant. It's designed for users of all technical abilities, and ANDRE can help you save a lot of time digging through survey data and generating actionable insights.

If you want to work collaboratively on data analysis, Athena is an AI-native analytics platform that speeds up workflows with co-pilot and auto-pilot modes. It integrates with Enterprise Data Warehouses, offers chat-based interfaces for querying and visualizing data, and automates workflows with natural language processing. Athena is designed to make data analysis accessible to all users and help businesses make data-driven decisions across the enterprise.