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What is Tiering /how-to-guides/data-insights/tiering

What is Tiering

Tiering is an important concept of data classification in OpenMetadata. Data Producers and Consumers can set business importance of data by setting Tiers. Tier 1 is the most important data of an organization.

In OpenMetadata, Tiers are System Classification tags and can be accessed from Govern > Classification > Tier.

{% image src="/images/v1.7/how-to-guides/governance/tier1.png" alt="Classification Tags: Tiers" caption="Classification Tags: Tiers" /%}

In case of tiering, it is easiest to start with the most important (Tier 1) and the least important (Tier 5) data. Once the Tier 1 or most important data is identified, organizations can focus on improving the descriptions and data quality. The Data Insights in OpenMetadata helps identify the unused datasets as Tier 5. The Tier 5 datasets can be deleted periodically to declutter. Other tiers can be added as per your organizational needs. Tags can be added to further mark the data assets.

Tier Impact Used for Type of Impact Usage
Tier 1 High External & Internal Decisions Revenue, Regulatory, & Reputational Highly used
Tier 2 Moderate Some External & Mostly Internal Decisions Some Regulatory Highly used
Tier 3 Low Internal Decisions - Highly used (Top N percentile)
Tier 4 Low Internal Team Decisions - -
Tier 5 Individual owned Unused Datasets - -

How to Add Tiers

From the Explore page, select a data asset and click on the edit icon for Tier. Select the appropriate tier. Clicking on the arrow next to the tier will provide a description of the tier.

{% image src="/images/v1.7/how-to-guides/governance/tier2.png" alt="Add a Tier to Data Asset" caption="Add a Tier to Data Asset" /%}

{%inlineCallout color="violet-70" bold="Set Up Data Insights Ingestion" icon="MdArrowForward" href="/how-to-guides/data-insights/ingestion"%} Set up the ingestion pipeline right from the UI. {%/inlineCallout%}