This quick start guide explains how you can use the data collected by Adobe Analytics in Customer Journey Analytics.
You do have Adobe Analytics licensed and deployed on one or more of your websites, using any of the documented implementation methods:
To accomplish this, you need to:
Set up an Adobe Analytics source connector in Adobe Experience Platform. This takes care of ingesting your current Adobe Analytics data into a dataset in Adobe Experience Platform.
Set up a connection in Customer Journey Analytics. This connection should (at least) include your Adobe Experience Platform dataset.
Set up a data view in Customer Journey Analytics to define metrics and dimension that you want to use in Analysis Workspace.
Set up a project in Customer Journey Analytics to build your reports and visualizations.
This is a simplified guide on how to ingest data, using the Adobe Analytics source connector, and use that data in Customer Journey Analytics. It is highly recommended to study the additional information when referred to.
The Adobe Analytics source connector allows you to bring Adobe Analytics report suite data into Adobe Experience Platform.
To create an Adobe Analytics source connector:
In the Platform UI, select Sources, from the left rail.
Select Adobe applications from the list of CATEGORIES.
Select Set up or Add data in the Adobe Analytics tile.
Select Report suite. From the list of report suites, select the one you want to use.
Select Default schema as the Target schema. Adobe Experience Platform automatically creates the schema and the corresponding dataset to map all standard fields from the selected Adobe Analytics report suite.
Name the data flow and (optionally) provide a description.
Review the connection and select Finish.
Once the connection is created, the dataflow is automatically created to populate a dataset with the Adobe Analytics data from your report suite, including the ingestion of up to 13 months of historical data.
When the initial ingestion completes, your Adobe Analytics report suite data is ready to be used by Customer Journey Analytics.
See Create an Adobe Analytics source connection in the UI for a much more comprehensive tutorial.
To use the Adobe Experience Platform data in Customer Journey Analytics, you create a connection that includes the data resulting from setting up your schema, dataset, and workflow.
A connection lets you integrate datasets from Adobe Experience Platform into Workspace. In order to report on these datasets, you first have to establish a connection between datasets in Adobe Experience Platform and Workspace.
To create your connection:
In the Customer Journey Analytics UI, select Connections in the top navigation.
Select Create new connection.
In the Untitled connection screen:
Name and describe your connection in Connection Settings.
Select the correct sandbox from the Sandbox list in Data settings and select the number of daily events from the Average number of daily events list.
Select Add datasets.
In the Select datasets step in Add datasets:
Select the dataset automatically created by the Adobe Analytics source connector and any other dataset that you want to include in your connection.
In the Datasets settings step in Add datasets:
For each dataset:
Select a Person ID from the available identities defined in the dataset schemas in Adobe Experience Platform.
Select the correct data source from the Data source type list. If you specify Other, then add a description for your data source.
Set Import all new data and Dataset backfill existing data according to your preferences.
Select Add datasets.
See Connections overview for more information on how to create and manage a connection and how to select and combine datasets.
A data view is a container specific to Customer Journey Analytics that lets you determine how to interpret data from a connection. It specifies all dimensions and metrics available in Analysis Workspace and which columns those dimensions and metrics obtain their data from. Data views are defined in preparation for reporting in Analysis Workspace.
To create your data view:
In the Customer Journey Analytics UI, select Data views in the top navigation.
Select Create new data view.
In the Configure step:
Select your connection from the Connection list.
Name and (optionally) describe your connection.
Select Save and continue.
In the Components step:
Add any schema field and/or standard component that you want to include to the METRICS or DIMENSIONS component boxes.
Select Save and continue.
In the Settings step:
Leave the settings as they are and select Save and finish.
See Data views overview for more information on how to create and edit a data view, what components are available for you to use in your data view and how to use filter and sessions settings.
Analysis Workspace is a flexible browser tool that allows you to quickly build analyses and share insights based on your data. You use Workspace projects to combine data components, tables, and visualizations to craft your analysis and share with anyone in your organization.
To create your project:
In the Customer Journey Analytics UI, select Projects in the top navigation.
Select Projects in the left navigation.
Select Create project.
Select Blank project.
Select your data view from the list.
Start dragging and dropping dimensions and metrics on the Freeform table in the Panel to create your first report. As an example, drag
Program Points Balance and
Page View as metrics and
See Analysis Workspace overview for more information on how to create projects and build your analysis using components, visualizations, and panels.
You have completed all the steps. Starting by setting up the Adobe Analytics data source connector and configuring that connector for your report suite, your Adobe Analytics data is automatically uploaded into Adobe Experience Platform. You defined a connection in Customer Journey Analytics to make use of the ingested Adobe Analytics data and other data. Your data view definition allowed you to specify which dimension and metrics to use and finally you created your first project visualizing and analyzing your data.