TEPUN

Datasets

Create, transform, and manage reusable data queries with AI assistance.

Datasets are reusable data queries that power your reports in Tepun AI Report Builder. Create them with a single AI prompt, build them manually for precision, or click intelligent suggestions generated from your schema.

What are Datasets?

In Tepun reports, a dataset is a saved query that retrieves specific data from your connection. Think of datasets as building blocks:

  • Reusable: Create once, use in multiple reports and workbooks
  • Consistent: Changes to a dataset propagate to all dependent reports
  • Transformable: Apply filters, aggregations, and calculations
  • Schedulable: Refresh data automatically on your chosen schedule

Why Datasets Matter: Instead of writing the same query in every report, create a dataset once. All reports using that dataset stay synchronized. When your business logic changes, update it in one place.

The Traditional Way: Before AI Datasets

Before Tepun AI, creating datasets required:

  • SQL Expertise: Writing complex SELECT statements with JOINs, GROUP BY, and subqueries
  • Schema Knowledge: Memorizing table names, column names, and relationships
  • Trial and Error: Testing queries in SQL clients, copying to BI tools, fixing errors
  • Manual Documentation: Explaining to others what each dataset does and how to use it
  • Brittle Dependencies: Reports breaking when underlying tables change

How AI Transforms Dataset Creation

Tepun AI Report Builder revolutionizes how datasets are created:

Natural Language Creation

"Get all orders from the last 30 days with customer names" becomes a complete dataset instantly.

Schema-Aware AI

AI knows your tables and columns. Say "customers" instead of "tbl_cust" — it understands.

Intelligent Suggestions

One-click dataset creation from AI-generated suggestions based on your schema.

Full Script Access

View and edit the generated SQL. Combine AI speed with technical precision.

Dataset Types

Type Best For
AI-Generated Quick creation from natural language, exploration, prototyping
Manual Builder Precise control over tables, joins, and columns
From Suggestions One-click creation of common data combinations
Transformed Derived datasets with filters, aggregations, pivots
Merged Combined datasets from multiple sources

Topics in This Section

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