Perform Data Analysis

askEdgi enables users to analyze data using natural language within the workspace. Users can add catalog objects or upload files, ask questions about the data, and review the results as text summaries, tables, or visualizations. This capability simplifies data exploration and helps users generate insights without writing SQL queries or creating dashboards.

Why Analysis Matters

In many organizations, business teams depend on analysts or data engineers to write SQL queries or build dashboards. This dependency creates bottlenecks and delays, especially for exploratory analysis. Even with direct access to data, non-technical users often struggle to transform raw datasets into actionable insights.

askEdgi eliminates these barriers by enabling natural language analysis directly in the Workspace. Files can be uploaded or catalog objects added, and queries can be expressed in plain language. The assistant responds with text summaries, tables, or visualizations, reducing reliance on SQL scripts or BI tools.

What Can Be Done

Within the Workspace, askEdgi supports:

• Adding datasets from the data catalog

• Uploading external files (CSV, PQT, XLSX, JSON up to 1 GB per file)

• Asking natural language questions about data

• Generating visual outputs such as bar, line, pie, and scatter charts

• Running quick aggregations, filters, and descriptive summaries

Use Case & Real-Life Scenario

A product manager investigating return patterns adds two catalog tables into the Workspace:

• orders

• returns

The manager submits the query:

“Join orders and returns on order_id to show total returns by product_id.”

askEdgi automatically generates the join and produces a table with aggregated return counts by product.

The following query is: “Create a bar chart of total returns by product.”

The askEdgi generates a bar chart highlighting two products with the highest return counts.

The analysis continues with:

“Show return percentage by product category.”

askEdgi calculates the return ratio versus total orders and provides both a table and a chart. This sequence of queries enables rapid identification of quality issues without SQL or manual dashboard creation.

Availability

• Public – Available (file upload, analysis, visualization)

• SaaS – Available (complete analysis capabilities)

• On-Prem – Not available (limited to metadata analytics only)

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