Manage connections manage-connections
Once you have created or edited one or more connections, you can manage them in Connections. The Connections interface let you:
- View all your connections at a glance, including the owner, the sandbox, and when the connections were created and modified.
- Edit a connection.
- Delete a connection.
- Create a data view from a connection.
- View all datasets in a connection.
- Check the status of your connection’s datasets and the status of the ingestion process. For example, when is your data available so that you can start with reporting and analysis in Analysis Workspace.
- Identify any data discrepancies due to misconfiguration. Are you missing any rows? If so, what rows are missing and why? Did you misconfigure connections and cause missing data in Customer Journey Analytics?
- Get insights on the usage of ingested and reportable rows across all your connections.
Connections has two interfaces: List and Usage.
List
The List interface is the default interface for Connections. If not selected, select the List tab to access the interface.
The List interface shows a table of all connections available.
Search for a connection
You can quickly search for a connection using the Search
Apply a filter to the list of connections
To apply a filter to the list of connections, select the filter icon, then select from the following filter options:
Available columns
The following columns or icons are available in the table.
To view information about Datasets included, Sandbox, Owner, and more, select
A popup window displays details about the dataset.
Select
Connection type
One or more links to the datasets that are part of the connection. You can select the dataset hyperlink to view the dataset in the connection. If more datasets are part of the selected connection, select +x more to show a Datasets included panel. This panel shows links to all datasets and an option to
Select a dataset name to open the dataset in the Experience Platform interface in a new tab.
The status of importing new data for datasets:
The status for backfill data across datasets.
To configure which columns to display in the table, select
Edit a connection
To edit a connection:
- Select
- Select
Alternatively, you can:
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Select the connection row.
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Select
See Create or edit a connection for more information.
Delete a connection connections-delete
To delete a connection:
- Select
- Select
Alternatively, you can:
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Select the connection row.
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Select
When you delete a connection, a Delete connection panel indicates which data views are deleted and which workspace projects are affected.
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In ➊ Info, the implications of the deletion of the connection are shown.
Select Continue to confirm the deletion.
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In âž‹ Confirmation, enter the name of the connection in Type connection name, and select Delete to delete the connection. Select Cancel to cancel.
See Deletion implications for more information about deleting a connection.
Create a data view for a connection
To create a data view for a connection:
- Select
- Select
Alternatively, you can:
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Select the connection row.
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Select
See Create or edit a data view for more information.
Journey Optimizer connections
You can use a Journey Optimizer connection in Customer Journey Analytics to bring the following additional value to your connection:
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Perform in-depth analysis of Journey Optimizer data within Customer Journey Analytics (by using the Analyze in CJA button within Journey Optimizer).
For more information, see Analyze in Customer Journey Analytics in the Journey Optimizer documentation.
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Edit the Journey Optimizer connection and associated data views.
For more information about editing options, see Edit a connection.
To enable this functionality, your organization needs access to Customer Journey Analytics. If you don’t have access, contact your 51ºÚÁϲ»´òìÈ sales representative.
Use a Journey Optimizer connection use-connection-in-cja
To use a Journey Optimizer connection in Customer Journey Analytics:
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Locate the Journey Optimizer connection that you want to use with Customer Journey Analytics.
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Select
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In the Use in CJA section, select Off.
This displays all Journey Optimizer connections that are not currently configured for use in Customer Journey Analytics.
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Select the name of the Journey Optimizer connection.
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Select
The Use this connection in Customer Journey Analytics dialog displays.
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Enable the toggle, Use connection in CJA.
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Select Use connection.
Remove a Journey Optimizer connection remove-connection-in-cja
You can remove a Journey Optimizer connection from Customer Journey Analytics at any time. However, removing the connection from Customer Journey Analytics after it is being used results in the following:
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The Journey Optimizer connection and any associated data views are reset to their default state and can no longer be edited
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Any custom derived fields associated with the connection are deleted.
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You can no longer perform in-depth analysis of Journey Optimizer data within Customer Journey Analytics.
This means that the Analyze in CJA button in Journey Optimizer is disabled.
To remove the connection from Customer Journey Analytics:
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Locate the Journey Optimizer connection that you want to remove from Customer Journey Analytics.
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Select
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In the Use in CJA section, select On.
This displays all Journey Optimizer connections that are currently configured for use in Customer Journey Analytics.
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To view the connection, select the name of the Journey Optimizer connection that you want to remove from Customer Journey Analytics.
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When viewing the Journey Optimizer connection, select Remove from CJA.
The Remove this connection from Customer Journey Analytics dialog displays:
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Disable the option, Remove connection from CJA.
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Select Remove connection.
Map a connection
To view a connection map that details the relationships between the datasets that are part of a connection:
- Select
- Select
Connection details connection-detail
To go to the details for a connection, select a hyperlinked connection name in the connections table.
The Connections details interface provides a detailed view of the status of a connection. You can:
- Check the status of your connection’s datasets and of the ingestion process.
- Identify configuration problems that can cause skipped or deleted records.
- See when the data is available for reporting.
Summarize the event, lookup, profile and summary dataset records that are added, skipped, and deleted, and the number of batches added. These metrics are based on the dataset and date range that you have selected.
Select Check detail to show the Check skipped detail popup. The popup lists the number of skipped records and the reason for all event datasets or selected dataset.
Select
A visualization to indicate how many rows were skipped in the selected time period, for the dataset and date range you have selected. Reasons for skipping records include: missing timestamps, missing or invalid Person ID or Account ID [B2B Edition]{class="badge informative" title="Customer Journey Analytics B2B Edition"}, and so forth. Updates every 10 minutes.
Invalid IDs (such as undefined, or 00000000, or any combination of numbers and letters in a Person ID that appear in an event more than 1 million times in a given month) are IDs that cannot be attributed to any specific user or person. These rows cannot be ingested into the system and result in error-prone ingestion and reporting. To fix invalid Person IDs or Account IDs [B2B Edition]{class="badge informative" title="Customer Journey Analytics B2B Edition"}, you have 3 options:
- Use Stitching to populate the undefined or all-zero user IDs with valid user IDs.
- Blank out user IDs, which are then skipped during ingestion (preferable to invalid or all-zero user IDs).
- Fix any invalid user IDs in your system before ingesting the data.
A visualization to indicate how many rows were deleted in the selected time period, for the dataset and date range you have selected. Someone might have deleted a dataset in Experience Platform, for example. Updates every 10 minutes.
In some scenarios, this value can also include records replaced, as with stitching or some lookup dataset updates. Consider this example:
- You upload one record to an XDM Individual Profile dataset, which Customer Journey Analytics is configured to ingest as profile lookup data. In the connection details, this dataset would display 1 record added.
- You upload a duplicate of the original record into the same AEP dataset, which now contains two records. Customer Journey Analytics ingests the additional record from the profile or account [B2B Edition]{class="badge informative" title="Customer Journey Analytics B2B Edition"} lookup dataset. Seeing that a profile or account record is already ingested in the connection for that Person ID or Account ID [B2B Edition]{class="badge informative" title="Customer Journey Analytics B2B Edition"}, Customer Journey Analytics deletes its earlier version and adds the new profile data. In the connection details, this action would represent 1 record added and 1 record deleted, because Customer Journey Analytics only retains the most recent profile lookup data for any ingested Person ID or Account ID [B2B Edition]{class="badge informative" title="Customer Journey Analytics B2B Edition"}.
- In total, the AEP dataset contains two records that happen to be identical. Separately, the Customer Journey Analytics connection details display the status of its ingested data: 2 records added and 1 record deleted for this profile dataset.
The datasets table displays the following columns for each dataset:
The status of importing new data for the dataset:
The transformation status of applicable B2B lookup datasets. See Transform datasets for B2B lookups for more information.
N/A for all other datasets, not applicable for transformation.
The status of backfill data for the dataset.
Connection panel
When no individual dataset is selected in the datasets table, the right panel shows connection options and details.
Primary ID type
The status of importing new data for datasets:
The status of backfill data for datasets.
The transformation status of applicable B2B lookup datasets. See Transform datasets for B2B lookups for more information.
Dataset panel
When a dataset row is selected in the datasets table, a panel on the right side of the Connections interface show details for the selected dataset.
Global Account ID
The status of importing new data for the dataset:
The status of backfill data for the dataset.
To show a dialog with an overview of the past backfills for the dataset, select
Usage connections-usage
The Usage interface shows the usage of ingested and reportable rows across all connections. If not selected, select the Usage tab to access the interface.
This interface supports you to determine whether your Customer Journey Analytics usage complies with what is contractually agreed upon. In addition to monitoring purposes, you can use the Usage interface to plan your Customer Journey Analytics license renewal.
The Usage interface uses the following metrics:
The Usage interface consists of two panels:
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The Key usage metrics panel that displays:
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Four summary visualizations that display total and percentual changes from the previous month for:
- Core data reportable rows. The total number of rows available over the past 13 months for the current month, with a percentage change compared to the previous month. For example, on February 1, 2024, the number shows the total rows available with an event timestamp from January 2023 to January 2024.
- Historical data reportable rows. The total number of rows available over a period older than 13 months for the current month, with a percentage change compared to the previous month. For example, on February 1, 2024, the number shows the total rows available with an event timestamp older than January 2023.
- Core data volume. The total amount of data stored on disk that is timestamped for the current month (in TB), with a percentage change compared to the previous month.
- Average row size. The average amount of storage consumed by each row of data ingested and stored for the current month (in kB), with a percentage change compared to the previous month.
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A stacked vertical bar visualization that displays the Core and Historical data reportable rows for the last 13 months.
When you hover over any stacked bar in the visualization, a popup shows the number of rows for that specific part of the bar. In the example below, the core data reportable rows are shown for the current month (August 2025: 936M (936,347,325)).
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A combined panel, showing three subpanels for:
accordion Ingested rows The Ingested rows subpanel measures the total number of records added to the system each month, providing insight into data growth and ingestion rates. The subpanel provides a summary of this month’s total ingested rows and the change from the previous month.
You can hover over data points in the visualization to display a popup with more details.
accordion Reportable rows The Reportable rows visualization tracks the number of rows available for reporting by subtracting skipped and deleted rows from ingested rows, serving as a key metric for billing and data usage. The subpanel provides two summaries:
- Last month total: A summary of total reportable rows up until this month.
- This month: A summary of this month’s total reportable rows and the change from the previous month.
You can hover over data points in the visualizations to display a popup with more details.
accordion Detail breakdown You can use the Detail breakdown table to view detailed metrics by connection, dataset, sandbox, and tags. Datasets are reported using ids instead of names, as dataset names can be modified during a reporting period. Unknown datasets or connections are reported using ids.
For the months before September 2024, data was collected at the dataset level and is displayed as Other datasets for clarity. Starting from September 2024, data is gathered at a granular dataset level, and Other datasets do no longer appear.
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To change the breakdown, select a combination for View by and Breakdown by.
table 0-row-2 1-row-2 2-row-2 3-row-2 4-row-2 View by options Breakdown by options Connection - and Dataset Dataset - Sandbox Connection Tag Connection
You can define a Time range in months to report on. Use
