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Integrate and Analyze Marketing Data with Marketing Cloud Intelligence
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          Uploading Data in Marketing Cloud Intelligence

          Uploading Data in Marketing Cloud Intelligence

          One of the most crucial steps when working with Marketing Cloud Intelligence, is uploading data. Since Marketing Cloud Intelligence supports numerous types of data, you can choose from many different ways to upload it. During the upload stage, you can map your data to determine which fields appear in Marketing Cloud Intelligence, and you can even create custom calculated fields to get the most out of your data. All these actions are done in the Connect & Mix tab.

          • Create Data Streams in Marketing Cloud Intelligence
            Whenever you upload data, data streams are created. These data streams can be referenced throughout the Marketing Cloud Intelligence platform, for example in pivot tables, reports, and dashboards. There are several methods available for creating data streams in Marketing Cloud Intelligence. You can use an API connector to connect via API, TotalConnect to upload external files, LiteConnect if you have data from a single source, or even Granular Data Centers if you have granular data. You can choose which method is best for you.
          • Mapping Your Source Data in Marketing Cloud Intelligence
            Mapping connects the source fields in your uploaded file to the corresponding Marketing Cloud Intelligence fields. Intelligence uses machine learning algorithms to map your data. The mapping process is similar regardless of which method you use to upload your data, with some minor differences. If you’re using an API connector to upload your data, Marketing Cloud Intelligence automatically maps the fields for you, but you can make changes to the mapping. If you’re using TotalConnect, Intelligence identifies the most suitable data stream type according to your data and offers an initial mapping suggestion.
          • Advanced Settings in Data Streams in Marketing Cloud Intelligence
            Define advanced settings to your data stream to select load modes, load rules, or configure additional settings. The available settings vary based on the type of data stream that you’re creating.
          • Data Stream Control Center
            The Data Stream Control Center is a dashboard that centralizes data stream management into a single view. You can assess stream status, evaluate data quality, and identify ingestion issues. Get actionable insights for improved data hygiene and row management. The Data Stream Control Center is automatically filtered to show data for Today. To view the Data Stream Control Center dashboard, in the Connect & Mix tab, expand the Control Center tab.
          • Data Stream List
            View, manage, and create data streams from the Data Stream List, in the Connect & Mix tab.
          • Data Stream Templates in Marketing Cloud Intelligence
            Use data stream templates to create a mapping template that you can replicate to create data streams. Store the template on the workspace or account level. You can share data stream templates between workspaces and accounts. The data stream template saves formulas used in the original data stream.
          • Data Mapping Visualizer
            Use the Data Mapping Visualizer tool to view an animated display of the mapped data in your Intelligence workspace. Data Mapping Visualizer lets you easily view and search your mapped data.
          • Workflows in Marketing Cloud Intelligence
            Use workflows to execute data streams, reports, and actions in your workspace. For example, create a workflow to generate a report after specific data streams are processed.
          • Transformation Rules
            Use transformation rules to set values to a specified attribute, based on a set of defined criteria. The rules can be set at the level of the entity key or name. Transformation rules are most effective when the entity key or name has a consistent naming convention.
          • Transformation Groups
            Transformation groups allow you to classify attributes of entities, such as sites, campaigns, or products, so you can filter information.
           
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