Question: Can you recommend a collaborative data analysis tool that supports natural language input for easy data storytelling?

If you're looking for a collaborative data analysis tool that lets you ask natural language questions to tell a story with data, ThoughtSpot is a top contender. This AI-infused analytics tool lets people ask complex data questions in plain language and get results and explanations immediately. It's geared for business teams and product developers, with features like natural language queries, embedded analytics and powerful visualization. It's used by many industries, so it should be adaptable to companies of all sizes.

Another good choice is Columns, a collaborative data visualization tool that lets people use natural language and speech to interact with it. It's good for teamwork since it lets people with different levels of technical expertise create data visualizations. Columns has fine-grained access controls, a data catalog management system that's easy to use, and self-serve data storytelling abilities, so it's good for teams that want to improve data analysis and collaboration.

If you need something more flexible, Zing Data offers a GenAI platform with natural language querying and collaboration abilities. It's got real-time alerts, advanced filtering and data connectors to common sources like Postgres, Snowflake and BigQuery. Zing Data is good for people who want to get a quick answer without having to build a lot of data modeling expertise, and it's got a variety of pricing levels for different needs.

Last, DataChat is a no-code, generative AI platform that turns raw data into insights. It's got an interface that's like something you've seen before in spreadsheet and chat apps, so you can analyze data without having to write any code. DataChat automates the drudgery of data prep and modeling, so it's good for data scientists, analysts and business users who need to make decisions fast.