You should consider data products based on downstream use cases of your most important data. By setting up data products, you can head to Products for a complete overview of your products and their status. Data products showing the priority, owner, and status of all monitors and tests title Examples of data products are

A set of dbt models and metrics within a specific dbt folder, like a finance mart.

A group of dbt models linked by an exposure, for instance, models used by a CLTV model that powers marketing automation.

A selected collection of dashboards in a BI tool, such as core KPI reporting.

A compilation of tables or dbt models that carry a common tag, like all ‘P1’ models that require high-priority management.

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Benefits of creating data products

Data products give you an easy way to manage the end reliability of your business-critical data.
  • Understand end-end health—understand all monitors and tests on the data product and its upstream dependencies.
  • Set relevant monitors—one-click monitor setup based on your data product definitions.
  • Define and activate ownership—manage ownership and alerting on the data product level.
  • Communicate uptime & SLAs—see historical issues and share insights around quality scores and test coverage of the data product.

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Understanding a data product

Data products are simple on the surface but complex under the hood. The key concepts to understand around a data product are lineage, assets, definitions, historical uptime, product health, and upstream health. A Data Product has four sections:
  1. Overview-key information about the data product assets, current status, and health over the past 15 days.
  2. Issues-list all the issues that are currently affecting your data product.
  3. Lineage-the relationships between your product’s assets.
  4. Settings-modify your product’s name, alert settings, owner, and assets.
title Data Product overview:
  • Summary—platforms, priority, description, and a summary of the quality score and coverage
  • Related incidents & issues—shows all issues and incidents on or upstream of the data product
  • Lineage—data assets and data products up and downstream of the data product
  • Assets—all data assets that are part of the data product definition

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Creating a data product

  1. Go to Creating a data product

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Modifying or deleting a data product

  1. Navigate to Products
  2. Click the three dots for the data product you want to modify and select Settings to edit it or Delete to delete it.