Create SAP SuccessFactors LMS-Connected Dashboards in Grafana

Cameron Leblanc
Cameron Leblanc
Senior Technology Evangelist
Connect to SAP SuccessFactors LMS Data via CData Connect AI in Grafana and create custom business dashboards with real-time access to SAP SuccessFactors LMS data.

Grafana is an open-source platform that allows users to analyze, monitor, and visualize telemetry from various data sources. When combined with CData Connect AI, you gain immediate access to SAP SuccessFactors LMS data for business dashboards. This article outlines the process of connecting to SAP SuccessFactors LMS using Connect AI and creating a basic dashboard from SAP SuccessFactors LMS data within Grafana.

CData Connect AI offers a pure SQL Server, cloud-to-cloud interface for SAP SuccessFactors LMS, enabling the creation of dashboards directly from live SAP SuccessFactors LMS data within Grafana, all without the need for data replication to a native database. As you build visualizations, Grafana generates SQL queries to gather data. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported SQL operations, including filters and JOINs, directly to SAP SuccessFactors LMS. This leverages server-side processing to swiftly deliver the requested SAP SuccessFactors LMS data.

Configure SAP SuccessFactors LMS Connectivity for Grafana

Connectivity to SAP SuccessFactors LMS from Grafana is made possible through CData Connect AI. To work with SAP SuccessFactors LMS data from Grafana, we start by creating and configuring a SAP SuccessFactors LMS connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Select "SAP SuccessFactors LMS" from the Add Connection panel
  3. Enter the necessary authentication properties to connect to SAP SuccessFactors LMS.

    SAP SuccessFactors LMS uses OAuth authentication. Before connecting, you must configure an OAuth application tied to your SAP SuccessFactors LMS account.

    To establish a connection, set the following properties:

    • User: Your SAP SuccessFactors LMS username.
    • CompanyId: Your SAP SuccessFactors company identifier.
    • Url: The SAP SuccessFactors API URL (e.g., https://api4.successfactors.com).
    • OAuthClientId: The client Id assigned when you registered your custom OAuth application.
    • OAuthClientSecret: The client secret assigned when you registered your custom OAuth application.

    See the Getting Started chapter of the help documentation for a guide to creating a custom OAuth app and using OAuth.

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

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create.
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to SAP SuccessFactors LMS data from Grafana.

Visualize Live SAP SuccessFactors LMS Data in Grafana

To establish a connection from Grafana to the CData Connect AI Virtual SQL Server API, follow these steps.

  1. If you have not already done so, download and install Grafana for your operating system from the Grafana Website. Once installed, access Grafana at http://localhost:3000/.
  2. Log in to Grafana with your username and password for Grafana. If this is your first time logging in, the username is admin and the password is admin.
  3. On the navigation menu, click Sources > Add new connection. On this page, you can search for Microsoft SQL Server and select it as your data source.
  4. Select Microsoft SQL Server and click Add new data source.
  5. Enter a name for the new data source and then enter the following connection settings:
    • Host: tds.cdata.com:14333
    • Database: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, SAPSuccessFactorsLMS1).
    • Username: enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
    • Password: enter the PAT you previously generated.
  6. Click Save & Test. A Database Connect OK message appears when you have a successful connection established.

Create a Dashboard

Once you create the data source for SAP SuccessFactors LMS, you can start building dashboards on SAP SuccessFactors LMS data. Start in the navigation menu and click Dashboards

  1. On the Dashboards page, click + Create dashboard, then click + Add visualization.
  2. This opens the Select data source window where you can select your created connection.
  3. After selecting your connection, you can choose the tables and columns that you want to query for your visualization. Then press Run Query to run the generated query.
  4. After running your query, the resulting data is populated above the query editor. Here you can select the visualization that you want to use to present your data on the dashboard panel.
  5. When you have finished editing your panel, you can click Save dashboard to save the changes made to your Dashboard.

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect AI today!

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