Obtaining ERP Semantic Mining statistics and mining analysis
Summarize
Summary of Obtaining ERP Semantic Mining statistics and mining analysis
The ERP Semantic Mining home page dashboard in ServiceNow provides essential statistics, metrics, and debug information to help you analyze and troubleshoot ERP Semantic Mining activities. Access to this dashboard requires thesnerpmining.erpuserrole. You can navigate to the dashboard viaAll > ERP Foundation > ERP Customization Mining. Interactive charts, graphs, and lists allow you to drill down into detailed records for deeper insights.
Show less
Dashboard Structure and Key Features
The dashboard is divided into three tabs, each focusing on different aspects of ERP Semantic Mining data:
- Custom applications results tab: Displays candidate-related information with various visualizations such as donut charts and bar graphs. You can view application candidates by module, potential, user types (Light, Moderate, Power), CRUD operation types, and application model types.
- Selected potential candidates tab: Lists candidates identified as potential replatforming targets. Key columns include candidate name, short description, ERP application and module, potential score (indicating suitability for replatforming), number of similar candidates, associated ERP models, and last updated timestamp. ERP models are managed via Zero Copy Connector for ERP and serve as staging areas for fields and operations.
- All applications results tab: Provides system-wide statistics post data import, including application counts per module, user counts per module, and application user types by module (Light, Moderate, Power).
Key Outcomes for ServiceNow Customers
- Gain comprehensive visibility into ERP application candidates and their usage patterns to support informed decision-making.
- Identify and evaluate potential candidates for ERP replatforming based on defined metrics and similarity analyses.
- Understand user engagement levels across ERP modules to optimize application adoption and resource allocation.
- Leverage integration with Zero Copy Connector for ERP to manage ERP models effectively, facilitating data staging and operations.
- Use interactive visualizations to efficiently troubleshoot and analyze ERP Semantic Mining performance and results.
Use the ERP Semantic Mining home page dashboard to obtain statistics about candidates and info to help you troubleshoot.
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 .
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.
| 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). Note that frequency of use is not 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.
| 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 ERP 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.
| 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). Note that frequency of use is not part of the calculation. |