Athena 101#

Begin your path with Athena 101 — a beginner-friendly guide to using natural language to explore business data. You’ll learn how Athena interprets your questions and delivers clear, actionable responses. This module introduces you to Athena, ConverSight’s conversational AI that helps you access insights by simply asking questions in plain language. You’ll understand how to frame your queries, explore different response formats and use Athena to uncover patterns, trends and key takeaways — all in a way that feels intuitive and accessible, no matter your background.

Learning Objective

By completing this module, you will learn how to:

  • Understand the foundational architecture behind Athena

  • Select and manage datasets for accurate querying

  • Frame effective questions for actionable responses

  • Train Athena to interpret your language contextually

Identify and use key elements like filters, metrics, and intents to refine your questions

Topics Covered

The learning series is structured into the following sections:

  • How Athena Works

  • Dataset Selection

  • Key Elements for Asking Good Questions

  • Training Athena’s Language

This flow ensures you develop both conceptual clarity and hands-on proficiency in working with Athena effectively.

How Athena Works#

Gain a clear understanding of how ConverSight’s Athena processes natural language queries to deliver actionable insights. You’ll explore how Athena interprets your questions, maps them to the right datasets, and generates visual responses — all through a seamless conversational interface that evolves with your usage for smarter, faster decision-making.

Dataset Selection#

Learn how to select the right dataset within Athena to ensure accurate and relevant responses to your queries. This section covers how datasets are linked to business functions, how to switch between them using the top navigation, and how your access level determines dataset visibility. Selecting the appropriate dataset is a critical first step in driving meaningful insights through Athena.

Key Elements for Asking Good Questions#

Discover how to structure effective questions in Athena by combining essential elements such as metrics, dimensions, filters, and time periods. This section explains how these components work together to guide Athena in understanding your intent and delivering accurate insights.

Training Athena’s Language#

This section walks you through customizing Athena’s language model using keyword training and question mapping, ensuring that it interprets user queries accurately and consistently. With proper training, Athena becomes more aligned with your organizational language and delivers more relevant results.