Beacon : Basics

Beacons are a powerful Gen AI-driven feature that enable the extraction of insights from unstructured data, such as reviews, call transcripts, emails, and customer feedback. By processing text-based content, Beacons generate structured insights that can be seamlessly integrated into traditional analytics workflows.

Beacon Availability

⚡ Beacons currently work only for:

• Cached Data Sources

• Uploaded Files

🚨 Beacons are an Enterprise Feature

• This feature is not available for all users and is exclusive to enterprise-tier customers.

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Understanding the Basics of Beacons

1. Beacons Are Linked to Data Tables

Each Beacon is connected to a specific data table, meaning it extracts insights directly from a designated dataset. For example, in the Disneyland reviews dataset, the Beacon is linked to the reviews table, processing the unstructured comments into meaningful insights.

2. Beacons Contain Nodes

• A Node is an individual insight or fact extracted from your data.

• Each Beacon can have multiple nodes, allowing for different types of insights.

• Example Nodes in Disneyland Reviews:

  • Sentiment (Positive, Neutral, Negative)

  • Complaints (Food, Rides, Wait Times, Staff)

  • Emotion (Anger, Joy, Frustration, Excitement)

3. Beacons Become Usable as Structured Data

• Once a Beacon is processed, it creates a new structured table.

• This new table can be joined or combined with other tables for deeper analytics.

• For example, the Disneyland review insights table can be merged with CRM data to analyze customer satisfaction trends over time.