Connect to Sage 200 Data in ACL Analytics
ACL Analytics, part of Diligent HighBond, is a powerful data analysis software primarily used for audit, risk management, and compliance. It enables professionals to examine and analyze large volumes of data to identify anomalies, trends, and potential risks or fraudulent activities.
CData Connect AI offers a dedicated cloud-to-cloud interface for Sage 200, enabling analytics directly from live Sage 200 data within ACL Analytics, all without the need for data replication to a native database. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported SQL operations, including filters and JOINs, directly to Sage 200. This leverages server-side processing to swiftly deliver the requested Sage 200 data.
Configure Sage 200 Connectivity for ACL Analytics
Connectivity to Sage 200 from ACL Analytics is made possible through CData Connect AI. To work with Sage 200 data from ACL Analytics, we start by creating and configuring a Sage 200 connection in CData Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "Sage 200" from the Add Connection panel
- Enter the necessary authentication properties to connect to Sage 200.
Enter the necessary authentication properties to connect to Sage 200.
- Schema: Determines which Sage 200 edition you are connecting to. Specify either StandardUK or ProfessionalUK.
- Subscription Key: Provides access to the APIs that are used to establish a connection. You will first need to log into the Sage 200 API website and subscribe to the API edition that matches your account. You can do so here: https://developer.columbus.sage.com/docs/services/api/uk. Afterwards, the subscription key may be found in your profile after logging into Sage 200.
- Click Save & Test
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Navigate to the Permissions tab in the Add Sage 200 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.
- Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
- On the Settings page, go to the Access Tokens section and click Create PAT.
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Give the PAT a name and click Create.
- 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 200 data from ACL Analytics.
Connect to Sage 200 from ACL Analytics
The steps below outline connecting to CData Connect AI from ACL Analytics to create a new Sage 200 data source. The CData Connect AI Virtual SQL Server allows you to establish a connection to your data from integration tools that support connections to SQL servers. The Virtual SQL Server mimics the behavior of a traditional SQL server, and it supports a range of query options.
- With your Analytics File open, select 'Import' --> 'Database and application'
- Create a new SQL Server connection
- Set the connection information
- Server: tds.cdata.com
- Port: 14333
- Auth Scheme: Password
- Username: a Connect AI user, for example, [email protected]
- Password: the PAT for the above Connect AI user
- Database: the name of your Sage 200 connection, for example, Sage2001
- Click "Test Connection"
- Click "OK"
- You are now ready to work with your Sage 200 data in ACL Analytics!
Live connections to Sage 200 data from your applications
ACL Analytics can now connect to live Sage 200 data directly through Connect AI, allowing you to analyze Sage 200 data without duplicating it.
To get live data access to 300+ SaaS, Big Data, and NoSQL sources directly from your applications, try CData Connect AI today!