Create Reports from ShipEngine Data in Looker Studio

Looker Studio, formerly known as Google Data Studio, empowers users to craft customized reports featuring data visualizations that can be shared with clients while reflecting your brand identity. When combined with CData Connect AI, you gain immediate cloud-to-cloud access to ShipEngine data to create visualizations, dashboards, and more. This article provides step-by-step instructions on establishing a virtual database for ShipEngine and generating reports from ShipEngine data within Looker Studio.

CData Connect AI offers a seamless cloud-to-cloud interface tailored for ShipEngine, making it straightforward to construct reports directly from live ShipEngine data within Looker Studio without the need for data replication. As you create visualizations, Looker Studio generates queries to retrieve data. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported query operations, including filters, JOINs, and more, directly to ShipEngine. This leverages server-side processing to swiftly provide the requested ShipEngine data.

Configure ShipEngine Connectivity for Looker Studio

Connectivity to ShipEngine from Looker Studio is made possible through CData Connect AI. To work with ShipEngine data from Looker Studio, we start by creating and configuring a ShipEngine connection.

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "ShipEngine" from the Add Connection panel

3. Enter the necessary authentication properties to connect to ShipEngine.

   Start by setting the Profile connection property to the location of the ShipEngine Profile on disk (e.g. C:\profiles\ShipEngine.apip). Next, set the ProfileSettings connection property to the connection string for ShipEngine (see below).

   ShipEngine API Profile Settings

   Retrieve your ShipEngine API Key from the Dashboard at app.shipengine.com under API Management.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add ShipEngine Connection page and update the User-based permissions.

With the connection configured, you are ready to connect to ShipEngine data from Looker Studio.

Visualize Live ShipEngine Data from Looker Studio

The steps below outline connecting to CData Connect AI from Looker Studio to create a new ShipEngine data source and build a simple visualization from the data.

1. Log into Looker Studio, click data sources, create a new data source, and choose CData Connect AI Connector.

2. Click Authorize and allow access to your Google account.
3. Click Authorize to authenticate with your CData Connect AI instance
4. In the CData Connect AI Connector in Looker Studio select Connections to import from the dropdown and click Next

5. Now select a Connection (e.g. API1) and click Next
6. Select a Table (e.g. BatchErrors) or use a Custom Query and click Connect to continue
7. If needed, modify columns, click Create Report, and add the data source to the report.

8. Select a visualization style and add it to the report.
9. Select Dimensions and Measures to customize your visualization.

Live Access to ShipEngine Data from Cloud Applications

Now you have a direct, cloud-to-cloud connection to live ShipEngine data from your Looker Studio workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating ShipEngine data.

Try CData Connect AI and get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications.