A Look at Chat-Driven Analytics with Zing
An overview of Zing's new chat interface for data analysis, which lets teams ask questions about their data in plain language and get visual answers. We explore how both analysts and business users can use natural language to query data sources like Snowflake, BigQuery, and Postgres, then examine the results through charts and tables.
The video covers:
How to ask questions about your data naturally
Following up on insights with contextual questions
Seeing the calculations behind each result
Customizing visualizations through chat or visual editing
Working with data across web, iOS, and Android
We'll demonstrate real examples of analyzing sales trends, customer demographics, and other common business metrics, showing how the chat interface makes data exploration more accessible while maintaining transparency into the underlying calculations.
Try it at www.zingdata.com