Create NetSuite SuiteAnalytics-Connected Dashboards in Grafana

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 NetSuite SuiteAnalytics data for business dashboards. This article outlines the process of connecting to NetSuite SuiteAnalytics using Connect AI and creating a basic dashboard from NetSuite SuiteAnalytics data within Grafana.

CData Connect AI offers a pure SQL Server, cloud-to-cloud interface for NetSuite SuiteAnalytics, enabling the creation of dashboards directly from live NetSuite SuiteAnalytics 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 NetSuite SuiteAnalytics. This leverages server-side processing to swiftly deliver the requested NetSuite SuiteAnalytics data.

Configure NetSuite SuiteAnalytics Connectivity for Grafana

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

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

2. Select "NetSuite SuiteAnalytics" from the Add Connection panel

3. Enter the necessary authentication properties to connect to NetSuite SuiteAnalytics.

   Prerequisites

   Before you can connect to NetSuite SuiteAnalytics, you must set up SuiteAnalytics Connect in your NetSuite account:

   1. Enable the Connect Service feature.

      1. Ensure that your Account Administrator has enabled your Account and Role with the Connect Service feature.

      2. Navigate to Setup > Company > Enable Features.

      3. Click the Analytics tab and check the SuiteAnalytics Connect box.

   2. Add the SuiteAnalytics Connect permission to an existing Role, and note the Role ID for later.

   3. Find the Settings portlet on your home page and click Set Up SuiteAnalytics Connect, then click Your Configuration to view your service host and account ID. These settings map directly to the Server and Account Id properties.

   Add the NetSuite SuiteAnalytics Connection

   1. Open the Sources page of the Connect Cloud dashboard.

   2. Click Add Connection and select NetSuite SuiteAnalytics from the list of connectors.

   3. Enter a Connection Name of your choice.

   Authenticate to NetSuite SuiteAnalytics

   Set the following required properties:

   • Server: The Service Host value you found when setting up SuiteAnalytics Connect.

   • Account Id: The Account ID value you found when setting up SuiteAnalytics Connect.

   • Role Id: The internal ID of the login role you granted the SuiteAnalytics Connect permission.

   Next, choose one of the supported authentication methods:

   Basic authentication

   • User: The username you use to authenticate to your NetSuite account.

   • Password: The password associated with that account.

   Token-based authentication

   • Consumer Key and Consumer Secret: Generated when you create your integration record in NetSuite.

   • Token Key and Token Secret: The access token and secret generated for that integration.

   After you enter your credentials, click Save & Test to validate the connection.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add NetSuite SuiteAnalytics 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 NetSuite SuiteAnalytics data from Grafana.

Visualize Live NetSuite SuiteAnalytics 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, SuiteAnalytics1).
   • 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 NetSuite SuiteAnalytics, you can start building dashboards on NetSuite SuiteAnalytics 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!