ERP Canvas enables you to connect to your ERP (Enterprise Resource Planning) system of record, and to organize its data.

Replatforming legacy ERP apps onto the ServiceNow AI Platform

Replatforming is the process of scanning legacy ERP system code to find potential candidates to move onto your ServiceNow AI Platform instance as new apps. You can use data from the ERP system as a source for apps built on the ServiceNow AI Platform, improving performance, enhancing security, and reducing maintenance.

Using ERP Canvas, you can access standard fields for remote tables and ERP extraction tables, while ERP Customization Mining (ERP-CM) enables you to find good candidates for replatforming from the system of record onto the ServiceNow AI Platform.

ERP-CM suggests candidates and possible next steps, such as updating remote tables and extraction tables to access ERP data. Remote tables send data to the ServiceNow instance as an attachment, which is then analyzed using AI/ML to identify similar candidates to replatform.

Using remote tables and extraction tables with ERP Canvas and ERP-CM

You can use a combination of remote tables and extraction tables to retrieve data from your legacy ERP system.
  • Remote tables get their records from running an associated script against an external data source.
  • Extraction tables retrieve large amounts of data once a day using a scheduled query, and use transform tables to process data for use on the ServiceNow AI Platform.

Remote tables describe the schema for the data that you want to retrieve from an external source, such as the system of record. Use remote tables to connect the ServiceNow AI Platform to third-party sources, or to another instance, so that you can retrieve external data and optionally cache it in the memory. You can view external data in lists or forms and process it with standard Glide scripts. You can also group, sort, aggregate, and filter the data just like you would for standard internal tables.

By using a remote table, you can retrieve the data from external sources or from another instance with REST or SOAP services. The external data lives in the memory in read-only mode, which makes the data temporary, or transient, within the ServiceNow AI Platform. You can then view and manipulate the external data without importing or storing it. For more information, see Remote tables.

Use an extraction table to work with large amounts of ERP data. ERP extraction tables regularly save data to a local transform table on the ServiceNow AI Platform, which you can then process and use as the data foundation of a replatformed app.