Exploring ERP Semantic Mining

  • リリースバージョン: Australia
  • 更新日 2026年03月12日
  • 所要時間:9分
  • ERP Semantic Mining enables you to identify candidates for replatforming. These candidates can be custom applications that were built on legacy ERP (Enterprise Resource Planning) systems that you want to quickly replatform.

    重要:
    Starting with the Zurich release, ERP Semantic Mining is being prepared for future deprecation. It will be hidden and no longer activated on new instances but will continue to be supported.

    Identifying candidates to replatform with ERP Semantic Mining

    Legacy ERP systems can contain old tables with custom fields that are difficult to maintain. Use Zero Copy Connector for ERP and ERP Semantic Mining to identify candidates with custom fields to extract onto their instance as remote tables or extraction tables. Low-code developers can then use the legacy ERP fields as data sources for apps created on the ServiceNow AI Platform, using a builder such as ServiceNow Studio, to replatform them.

    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 using a scheduled query, and use transform tables to process data for use on 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.

    When you find ERP candidates to replatform, ERP Semantic Mining also provides suggestions for next actions and similar candidates. ERP Semantic Mining supports any ERP modules, or functional areas that admins configure in Zero Copy Connector for ERP. Some example modules are Finance, Procurement, and Sales. For more information, see Building and managing models to work with ERP data.

    Replatformed data is immediately available, mirrored in easy-to-manage tables and apps. Users no longer must request information from database administrators, which can take weeks. Replatformed apps use the ERP system of record as the live data source.

    Workflow for replatforming customized ERP applications

    Complete the following workflow to replatform legacy ERP data with custom code from the system of record. All the work is done on the ServiceNow AI Platform using ERP Semantic Mining.
    1. Run an analysis with ERP Semantic Mining on the ERP system of record.
    2. Connect the ERP system of record to the ServiceNow instance with Zero Copy Connector for ERP.

      ERP Semantic Mining uses the system connections configured in Zero Copy Connector for ERP. For more information, see Working with ERP systems in Zero Copy Connector for ERP.

    3. Use Zero Copy Connector for ERP to build ERP models from fields on the available remote tables. For more information, see the following topics:
    4. Run ERP Semantic Mining to find candidates. Candidates are custom code in the system of record that you can replace with ServiceNow apps. For more information, see Browse an overview of candidates in ERP Semantic Mining.
    5. Choose the candidate to replatform. For more information, see Save potential candidates to replatform.
    6. Use the candidate details in ERP Semantic Mining as a central place to enter comments and save attachments relating to the candidate. For more information, see View and work with candidate details in ERP Semantic Mining.
    7. In the candidate details, identify any similar candidates that you could combine into a single replatformed app. For more information, see Determining candidate score and potential.
    8. Return to Zero Copy Connector for ERP to continue building data models with remote tables and extraction tables. Confirm that all the necessary data is available in the ServiceNow AI Platform. For more information, see Building and managing models to work with ERP data.
    9. In ServiceNow Studio or another ServiceNow application, build a scoped app by using the replatformed data as a source.
    10. Measure and monitor the performance of the new app using applicable metrics and parameters with your preferred analytic tools.

    Benefits of ERP Semantic Mining

    表 : 1. Benefits of ERP Semantic Mining
    Benefit Feature Role
    Quickly identify candidates with custom code to replatform without waiting for your ERP administrator Save potential candidates to replatform sn_erp_mining.erp_admin, sn_erp_mining.erp_user
    View suggestions for next steps and actions to guide you in replatforming Check candidate recommendations in ERP Semantic Mining sn_erp_mining.erp_admin, sn_erp_mining.erp_user
    Compile selected candidates in a list by saving them Save potential candidates to replatform sn_erp_mining.erp_admin, sn_erp_mining.erp_user

    Additional resources for ERP Semantic Mining

    Learn more about ERP Semantic Mining ServiceNow resources
    ERP Semantic Mining enables you to find application candidates with customized code in your ERP system.

    App Engine for ERP Overview on ServiceNow University

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    ServiceNow Community site

    Video: Unlock the full potential of your ERP system