Use stitching
Once your organization meets all prerequisites and understands common limitations and stitching method specific (field-based and graph-based) limitations, you can follow these steps to start using stitching in Customer Journey Analytics.
Select options
The Customer Journey Analytics package you are entitled to determines the available stitching methods, options for the initial backfill duration, lookback window, replay frequency, and maximum number of datasets permitted for stitching. See the for more details. Decide on the available options before requesting support.
Select
Prime
Ultimate
- Field-based stitching
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Field-based stitching
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Graph-based stitching
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Field-based stitching
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Graph-based stitching
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1 day, every day
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up to 7 days, weekly
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1 day, every day
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up to 14 days, weekly
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1 day, every day
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up to 30 days, weekly
Request support
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Contact ÃÛ¶¹ÊÓƵ Customer Support with the following information:
- A request to enable stitching.
- The dataset ID for the dataset that you want to rekey.
- The column name (identity path and namespace) of the persistent ID for the desired dataset (the identifier that appears on every row).
- For field-based stitching, the column name of the transient ID for the desired dataset (the person identifier, which also acts as a link between datasets in the context of a connection). For graph-based stitching, the identity namespace to use for querying the identity graph.
- Your preference of lookback window and replay frequency. See your Customer Journey Analytics package for the options available.
- Sandbox name.
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The ÃÛ¶¹ÊÓƵ Customer Support works with ÃÛ¶¹ÊÓƵ engineering to enable stitching upon receiving your request. Once enabled, a new rekeyed dataset that contains a new stitched ID column appears in ÃÛ¶¹ÊÓƵ Experience Platform. ÃÛ¶¹ÊÓƵ Customer Support can provide the new dataset’s ID.
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When first turned on, ÃÛ¶¹ÊÓƵ provides a backfill of stitched data. See your Customer Journey Analytics package for the option available.
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If you want to use the new stitched dataset in a cross-channel analysis, you need to add the new stitched dataset to a connection in Customer Journey Analytics. Then add any other datasets required for cross-channel analysis, and select the correct person ID for each dataset.
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Create a data view based on the connection.
Once the data view is set up, you can run your Customer Journey Analytics reporting analysis across channels and devices.