Obtaining ERP Semantic Mining statistics and mining analysis

  • Release version: Australia
  • Updated March 12, 2026
  • 3 minutes to read
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    Summary of Obtaining ERP Semantic Mining statistics and mining analysis

    The ERP Semantic Mining dashboard provides ServiceNow customers with detailed statistics and analysis about ERP application candidates to support troubleshooting and decision-making. Although ERP Semantic Mining will be deprecated starting with the Zurich release and hidden on new instances, existing instances will continue to be supported. Access to the dashboard requires thesnerpmining.erpuserrole.

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    To view the dashboard, navigate to All > ERP Foundation > ERP Semantic Mining. The dashboard includes interactive charts, graphs, and lists that allow you to drill down into underlying records by selecting sections of the visualizations.

    Dashboard Tabs and Features

    • Custom applications results tab: Displays data on ERP application candidates, including:
      • Application candidates per module: Number and percentage of candidates by ERP module.
      • Application candidates by potential: Candidate counts by potential suitability for replatforming.
      • Users of application candidates per module: Categorizes users as Light, Moderate, or Power based on the diversity of application candidates accessed (usage frequency not considered).
      • Application candidates per model: Counts candidates matching models in Zero Copy Connector for ERP.
      • Application candidates per CRUD operation type: Distribution by create, read, update, and delete operations across models.
      • Application types: Breakdown by model type, such as standard ERP models, workflows, or custom business areas.
    • Selected potential candidates tab: Lists candidates identified as strong replatforming prospects with columns including:
      • Name and short description of the candidate and accessed tables.
      • Associated ERP application and module (e.g., logistics, procurement, sales).
      • Potential number score indicating suitability for replatforming.
      • Count of similar candidates based on remote tables.
      • Number of ERP models the candidate belongs to, which are configured in Zero Copy Connector for ERP as staging areas for data fields and operations.
      • Last updated timestamp for each candidate record.
    • All applications results tab: Provides system-wide insights after data import, including:
      • Applications per module with counts and percentages.
      • Users per module with counts and percentages.
      • User types per module categorized as Light, Moderate, or Power based on the number of applications accessed (usage frequency not included).

    Practical Use for ServiceNow Customers

    This dashboard enables you to monitor and analyze ERP application candidates effectively, identify candidates suitable for replatforming, and understand user engagement across ERP modules. Leveraging these insights helps optimize ERP integration and migration efforts, troubleshoot issues related to ERP data mining, and make informed decisions about ERP semantic mining usage before its planned deprecation.

    Use the ERP Semantic Mining home page dashboard to obtain statistics about candidates and info to help you troubleshoot.

    Important:
    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.

    View statistics, metrics, and debug information for ERP Semantic Mining on the dashboard. Open links to related ERP Semantic Mining properties, logs, events, and editors.

    You must have the sn_erp_mining.erp_user role to view the dashboard.

    To view the dashboard, navigate to All > ERP Foundation > ERP Semantic Mining.

    Select the charts, graphs, and lists on the dashboard to view the underlying records. For example, select a section of a donut chart to see a list of the records for that section.

    The dashboard contains three tabs.

    Custom applications results tab

    This tab contains information about candidates.

    Table 1. Data visualizations
    Title Type Description
    Application candidates per module Donut Number of application candidates for each module by number and percentage.
    Application candidates by potential Donut Number of application candidates for each module by number and percentage.
    Users of application candidates per module Bar Type of user of application candidates by module. User type is based on the number of different application candidates accessed. Users are defined as Light (uses few apps), Moderate (uses multiple apps), and Power (uses the most apps). Frequency of use isn't part of the calculation.
    Application candidates per model Bar Number of application candidates that have a matching model in Zero Copy Connector for ERP.
    Application candidates per CRUD operation type Column Number of application candidates by CRUD (create, update, read, delete) type for different models.
    Application types Column Candidates by model type, such as a standard ERP model (which you work with in Zero Copy Connector for ERP), a workflow, or a custom business area.

    Selected potential candidates tab

    This tab contains information about candidates that have been identified as potential candidates for replatforming.

    Table 2. List report columns
    Column Description
    Name Name of the potential candidate, which is the record number on the ServiceNow AI Platform.
    Short description Brief information on what tables the potential candidate accesses
    ERP application Record for the ERP application of the potential candidate.
    ERP module Name of the ERP functional area in the system of record. For example, logistics, procurement, or sales.
    Potential number Evaluation of how well a potential candidate is suited for replatforming. The value represents how well the remote tables and extraction tables for the potential candidate match an application.
    Similar candidates Number of similar potential candidates. Similarity is based on the remote tables.
    ERP models Number of ERP models the potential candidate belongs to.

    ERP models are configured in Zero Copy Connector for ERP. An ERP model functions as a staging area that contains all potential fields you can add to remote and extraction tables, and read and update operations. You can then use the tables and queried data as a data source. For more information, see Building and managing models to work with ERP data.
    Updated Date and time the candidate record was last edited.

    All applications results tab

    This tab contains system-wide information that is useful to view after importing data.

    Table 3. Data visualizations
    Applications per module Donut Number of applications for each module by number and percentage.
    Users per module Donut Number of users for each module by number and percentage.
    Users of applications per module Bar Type of application users by module. User type is based on the number of different applications accessed. Users are defined as Light (uses few apps), Moderate (uses multiple apps), and Power (uses the most apps). Frequency of use isn't part of the calculation.