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Qualytics User Guide

Control the context behind every decision.

Qualytics is a data trust platform for your teams and AI. Connect and understand your data, define what trusted means, monitor its health, and investigate and resolve issues. Business context and lineage connect those decisions across your data, while recipes help you produce trusted outputs.

Start with your goal

Choose the path that best matches what you want to accomplish.

  • Get to your first quality signals

    Connect a source, understand the core operations, and review your first quality results.

    Follow the Quick Start

  • Define what trusted data means

    Combine AI Managed and Authored checks to define what trusted data means for your organization.

    Explore quality checks

  • Monitor data health

    Review scores, profiles, checks, and anomalies across the datastores you can access.

    Open Explore

  • Understand business context

    Follow lineage, name assets, and use tags to connect data to the work it supports.

    Follow lineage

  • Produce trusted outputs

    Resolve duplicates and reconcile differences through guided recipes.

    Explore recipes

  • Investigate and resolve issues

    Review failed-check evidence, assign ownership, and document resolutions.

    Work with anomalies

How Qualytics works

Qualytics builds trusted context through a governed lifecycle:

  1. Profile and understand Learn distributions, patterns, and expected structures from observed data behavior.
  2. Define and maintain coverage Use AI Managed checks for broad coverage and Authored checks for business expectations.
  3. Monitor quality Evaluate checks and review the resulting quality scores and anomalies.
  4. Investigate and resolve Review evidence, assign ownership, and document resolutions.

Built for humans and AI

One governed foundation

Quality checks capture what good data means. Scores and anomalies show how current data compares with those expectations, while ownership and resolution history preserve your team's decisions. Flows, integrations, the API, and MCP make these signals available to the people and systems that use your data.

Explore capabilities

Tools and updates

See it in action

Take a short walkthrough of the platform and see how its core capabilities work together.

Open the walkthrough