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Introduction

Introduction

Skoot is a data agent that helps you answer business questions using data from your existing databases and warehouses, without adding analyst headcount linearly. It combines governed data access with shared agent context, so your team can reuse analytics work instead of rebuilding it for every request.

The Problem Skoot Solves

The bottleneck is usually not SQL syntax. The bottleneck is demand growing faster than your team capacity.

  • Drowning in ad-hoc requests from stakeholders.
  • Analysts spend too much time on repetitive SQL pulls and recurring RCA work.
  • Dashboards are abundant but underused, and rarely answer new investigation questions.
  • Business stakeholders still cannot self-serve reliably.
  • Generic coding agents help individual productivity, but break down in shared analytics workflows.
  • Fast growth + lean team means the pain compounds over time.

Skoot is built to absorb repetitive load while improving consistency and trust.

Who Skoot Is For

Skoot is designed for teams where analytics is business-critical but bandwidth is constrained.

  • Analysts and analytics leads handling growing inbound requests.
  • Product, operations, finance, business and leadership teams that need dependable self-serve analysis.

How Skoot Works

Skoot follows a practical workflow that mirrors how the best analysts operate.

  1. Connect your warehouse with read-only access.
  2. Use existing resources as context for the agent (dashboards, SQL history, verified queries).
  3. Ask a question; Skoot uses agent context, inspects schema details, and prepares analysis.
  4. Stay in control by reviewing queries and analysis steps, then guiding the agent toward the best outcome.
  5. Save high-quality work back into reusable agent context so future analysis gets faster and more reliable.

Why Teams Choose Skoot

  • Faster time-to-value: bootstrap from existing BI and query assets instead of building a semantic layer from scratch.
  • Shared agent context, not one-off chat history: context persists across people and workflows.
  • Governed execution: control who can access data, and review or approve queries before they run.
  • Repeatable analysis: proven investigations can be reused as playbooks.
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15-Minute Quickstart