Using Data Conversations

Using Data Conversations#

This guide explains how to use Data Conversations, Adverity’s natural language interface for exploring your data.

Introduction#

What are Data Conversations?

Data Conversations reshape how you interact with your data by allowing you to simply ask questions and receive immediate insights. This product enables anyone in your organization to access data insights without technical expertise or SQL knowledge.

Whether you need quick answers about campaign performance, want to identify trends, or need to share insights with stakeholders, Data Conversations makes your data truly accessible and actionable.

What are the benefits of using Data Conversations?

With Data Conversations you can:

  • Get immediate answers about your data without writing SQL queries.

  • Empower team members of all technical levels to explore data independently.

  • Reduce time spent on repetitive data queries and report creation.

  • Access the information you need when you need it for better decision-making.

  • Easily share data insights with colleagues and clients.

How do Data Conversations use AI?

Data Conversations uses large language models (LLMs) to power its conversational AI capabilities. Adverity leverages OpenAI technology for processing natural language requests, specifically the GPT-4.1 model. Only column names and necessary database metadata are sent to OpenAI to generate SQL queries, which are then executed within Adverity’s secure environment. Your actual data remains within Adverity, and no personal data is shared with external providers. The summary statistics of your data may be shared with the LLM if it is requested in your prompt, however, the dataset itself remains in Adverity.

What Data Conversations response may look like?

Data Conversations answer may include:

  • Text explanations of the data

  • Data tables with relevant information

  • Visualizations (bar or line charts)

Additionally, you can view an SQL query used to get the data relevant to your prompt.

The response’s data size is limited to 10,000 rows per query.

Can I access my previous conversations?

All your conversations are saved automatically and can be opened from the Your conversations section. You can rename and delete saved conversations.

Additionally, you can add the selected conversations to favorites for easy access.

Prerequisites#

Before using Data Conversations, perform all of the following actions:

  • Grant users the Conversations manager permission to access Data Conversations. Users with Administrator permissions have access by default. For more information, see Managing user permissions.

Hint

If you transform your data outside of Adverity, set up a datastream in a new workspace to load it into Adverity Data Storage or your Snowflake warehouse after it has been transformed. This way you can get Data Conversations insights after the full processing.

Data Conversations best practices#

To get the most relevant insights with Data Conversations, use our best practices:

Working with responses#

Follow-up suggestions#

After getting a response, you’ll see suggested follow-up questions. Use these to dig deeper into your data or explore related aspects.

Viewing SQL#

To see the query used to retrieve your data, click View SQL under any response. This can help you understand the specific data used in the insights.

Adding conversations to favorites#

To add a conversation to favorites, open the image1 More menu for the conversation and click image2 Add to favorites.

Favorite conversations are displayed on top of your conversation history and are easy to access.

Downloading results#

For data tables

Click Download data image3 to export the insights as a CSV file.

For charts and visualizations

Click Download image image3 to save the insights as an image file.

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