Create Apps from Sage 300 Data in Qlik Sense Cloud

Qlik Sense Cloud allows you to create and share data visualizations and interact with information in new ways. CData Connect AI creates a live connection to Sage 300. By pairing Qlik Sense Cloud with CData Connect AI, you get true cloud-to-cloud connectivity to all of your SaaS and cloud-based Big Data and NoSQL sources — no need to migrate your data or write your integrations. Simply connect to Connect AI from Qlik Sense Cloud and get instant, live access to your Sage 300 data.

In this article, we walk through two connections:

1. Connecting to Sage 300 in Connect AI
2. Connecting to Connect AI from Qlik Sense Cloud to create a model and build a simple dashboard

Configure Sage 300 Connectivity for Qlik Sense Cloud

Connectivity to Sage 300 from Qlik Cloud is made possible through CData Connect AI. To work with Sage 300 data from Qlik Cloud, we start by creating and configuring a Sage 300 connection.

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

2. Select "Sage 300" from the Add Connection panel

3. Enter the necessary authentication properties to connect to Sage 300.

   Sage 300 requires some initial setup in order to communicate over the Sage 300 Web API.

   • Set up the security groups for the Sage 300 user. Give the Sage 300 user access to the option under Security Groups (per each module required).
   • Edit both web.config files in the /Online/Web and /Online/WebApi folders; change the key AllowWebApiAccessForAdmin to true. Restart the webAPI app-pool for the settings to take.
   • Once the user access is configured, click https://server/Sage300WebApi/ to ensure access to the web API.

   Authenticate to Sage 300 using Basic authentication.

   Connect Using Basic Authentication

   You must provide values for the following properties to successfully authenticate to Sage 300. Note that the provider reuses the session opened by Sage 300 using cookies. This means that your credentials are used only on the first request to open the session. After that, cookies returned from Sage 300 are used for authentication.

   • Url: Set this to the url of the server hosting Sage 300. Construct a URL for the Sage 300 Web API as follows: {protocol}://{host-application-path}/v{version}/{tenant}/ For example, http://localhost/Sage300WebApi/v1.0/-/.
   • User: Set this to the username of your account.
   • Password: Set this to the password of your account.
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Sage 300 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 Sage 300 data from Qlik Sense Cloud.

Create a Qlik Sense App from Sage 300 Data

This section explains how to add Sage 300 data to a Qlik Sense app for visualizations, analytics, reporting, and more.

Create a New App and Upload Data

1. Log into your Qlik Sense instance and click the button to create a new app
2. Name and configure the new app and click "Create"
3. In the workspace, click to open the new app
4. Click to add data from files and other sources
5. Select the Microsoft SQL Server connector and set the configuration properties.
   • Set Server to tds.cdata.com
   • Set Port to 14333
   • Set Database to the connection you created (e.g. Sage3001)
   • Set User name to the Connect AI user (e.g. [email protected])
   • Set Password to the PAT for the above user
   
6. Select an owner for the connection
7. Select a Sage 300 entity (Table) to view
8. Click Next, configure the model, and load the data into Qlik Sense.

Generate Insights or Customize Your App

With the data loaded into Qlik Sense, you are ready to begin discovering insights. You can build custom visualizations, reports, and dashboards engineered to gain actionable insights into your Sage 300 data.

More Information & Free Trial

Now, you have created a simple but powerful dashboard from live Sage 300 data. For more information on creating OData feeds from Sage 300 (and more than 100 other data sources), visit the Connect AI page. Sign up for a free trial and start working with live Sage 300 data in Qlik Sense Cloud.