Automatically identify topics of interest with AI: While BigQuery enables users to query and analyze massive amounts of data, identifying topics of interest can still be a manual and time-consuming process. By using Artifact alongside BigQuery, users can automatically identify topics of interest with the help of AI, enabling them to quickly understand what's important and what's not.

Identify key trends in customer conversations: BigQuery is great for analyzing large volumes of data, but it doesn't provide insights into specific customer interactions or conversations. By using Artifact alongside BigQuery, users can centralize every conversational touchpoint they have with customers and analyze 100% of their customer interactions to identify key trends, understand the voice of the customer, and gain a deeper understanding of their customers' needs.

Reduce the need for manual tagging and coding: One of the drawbacks of working with large datasets is the need for manual tagging and coding, which can be time-consuming and prone to error. By using Artifact alongside BigQuery, users can rely on AI-generated insights to analyze data without the need for manual tagging and coding. This saves time and ensures that insights are accurate and actionable.

Easily navigate data to understand key insights: BigQuery provides powerful querying capabilities, but navigating large datasets can be challenging. By using Artifact alongside BigQuery, users can easily navigate their data to zoom in on specific phrases and zoom out to understand broad themes. This enables users to quickly identify what's happening in their data and gain a deeper understanding of their customers.

Align customer insights with business outcomes: BigQuery provides users with the ability to analyze large volumes of data, but it doesn't provide insights into how customer interactions and conversations are aligned with business outcomes. By using Artifact alongside BigQuery, users can link every interaction to a specific customer and gain insights into how customer needs and preferences align with business metrics and initiatives. This helps businesses to make more informed decisions and drive better outcomes.