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@@ -169,3 +169,99 @@ The following is a list of some recommended best practices that you can follow t
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* Configure [Experience Event expirations](../../catalog/datasets/user-guide.md#data-retention-policy) and [Pseudonymous Profile data expirations](../../profile/pseudonymous-profiles.md) for high-frequency data like web data.
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* Configure [Time-to-Live (TTL) retention policies for Experience Event datasets](../../catalog/datasets/experience-event-dataset-retention-ttl-guide.md) in the data lake to automatically remove outdated records and optimize storage usage in line with your license entitlements.
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* Periodically check the [Profile Composition Reports](#profile-store-composition-reports) to understand your Profile store composition. This allows you to understand the data sources contributing most to your license usage consumption.
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## Use case: License Usage Compliance
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### Why consider this use case
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By ensuring your compliance with **license usage provisions** for both data lake and Profile storage, you can confidently prevent overages, optimize costs, and align your data retention policies with your business requirements.
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### Prerequisites and planning
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Consider the following prerequisites in your planning process:
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***Access and permissions**:
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* Ensure that you have the **Manage Datasets** permission to use Experience Event TTL.
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* Ensure that you have the **Manage Profile Settings** to use Pseudonymous Profile TTL.
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***Understanding of data retention policy**:
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* Organizational policies regarding data retention and compliance
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* Business needs for data analytics and segmentation lookback windows
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### UI functionality, Experience Platform components, and Experience Cloud products that you will use
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To successfully implement this use case, you must use multiple areas of Adobe Experience Platform. Ensure you have the necessary attribute-based access control permissions for all these areas, or ask your system administrator to grant them.
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* License usage dashboard - View your current entitlement usage at the sandbox level.
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* Dataset management - Monitor and manage dataset-level retention policies.
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* Audiences (Real-Time Customer Profile) - Ensure segmentation rules look back window aligns with data retention windows.
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* Monitoring and alerts - Track updates and receive insights on dataset retention operations.
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### How to achieve the use case: Step-by-step instructions
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Read through the sections below, which include links to further documentation, to complete each of the steps in the high-level overview above.
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**Check your current license usage**
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First, navigate to the **license usage dashboard** and review your entitlement usage at the sandbox level.
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>[!BEGINTABS]
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>[!TAB Production sandbox]
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Use the [!UICONTROL Metrics] interface to view your license usage metrics. The interface displays information for your production sandbox by default.
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>[!TAB Development sandbox]
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Select [!UICONTROL Development] to view license usage metrics related to your development sandboxes.
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>[!ENDTABS]
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For more information, read the documentation on [using the license usage dashboard](../../dashboards/guides/license-usage.md).
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**Analyze dataset-level storage usage**
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Use the **Dataset browse view** to review your dataset usage metrics for both data lake and Real-Time Customer Profile. Select the column headers for either **[!UICONTROL Data Lake Storage]** or **[!UICONTROL Profile Storage]**, then select **[!UICONTROL Sort Descending]** from the pop up panel.
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>[!BEGINTABS]
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>[!TAB Data lake storage]
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Your datasets in data lake are sorted by storage size. Use this feature to identify the largest consumers of storage in data lake.
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>[!TAB Profile storage]
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Your datasets in Profile are sorted by storage size. Use this feature to identify the largest consumers of storage in Profile.
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>[!ENDTABS]
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**Evaluate and configure retention rule**
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Next, determine if your datasets have the appropriate retention policies based on license limits and business requirements for Analytics and Segmentation. To view a dataset's retention policy, select the ellipses (`...`) beside your dataset, then select **[!UICONTROL Set data retention policy]**.
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The *[!UICONTROL Set dataset retention]* interface appears. Use this interface to configure a retention policy for your dataset. You can also use it to view how much storage space your dataset is consuming in either the data lake or Profile.
You can further analyze the retention impact of your dataset using the impact forecaster. Select **[!UICONTROL View ExperienceEvent data distribution]** to view a chart that displays your retention window and the total percentage of storage that is set to expire.
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When finished, select **[!UICONTROL Save]**
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**Validate retention changes**
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Once you have applied your retention policies, you can use the following tools to validate your changes:
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*[Dataset usage metrics](../../catalog/datasets/user-guide.md#enhanced-visibility-of-retention-periods-and-storage-metrics) in the dataset browse view.
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* The [monitoring dashboard](../../dataflows/ui/monitor.md) to view and analyze impact of retention.
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* The [license usage dashboard](../../dashboards/guides/license-usage.md) to view daily snapshots, predictive trends, and sandbox-level insights.
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