--- sourceDocument: Yokohama Build or modify applications sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/yokohama/application-development Release : - yokohama ft:locale : - en-US ft:publication_title : - Yokohama Build or modify applications ft:clusterId : - cadev bundleId : - cadev workflow : - Development, Data, and Analytics --- # Obtaining ERP Customization Mining statistics and mining analysis # Obtaining ERP Customization Mining statistics and mining analysis {#ariaid-title1} * Release version: Yokohama * * Updated January 30, 2025 * * ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read Summarize ![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) Summarized using AI This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete. ## Summary of Obtaining ERP Customization Mining statistics and mining analysis The ERP Customization Mining dashboard in ServiceNow provides a centralized interface to access detailed statistics, metrics, and debug information related to ERP customization candidates. This tool helps you analyze and troubleshoot ERP customization efforts by visualizing candidate data and mining results. Access requires thesnerpmining.erpuserrole. Show full answer Show less To access the dashboard, navigate to **All \> ERP Foundation \> ERP Customization Mining**. The dashboard allows you to interact with charts and graphs to drill down into underlying records for deeper insight. ## Key Features The dashboard is divided into three tabs, each focusing on different aspects of ERP customization mining: * **Custom applications results tab:** Displays candidates for customization mining with multiple data visualizations including: * Application candidates per module (donut chart showing count and percentage) * Application candidates by potential (donut chart highlighting suitability for replatforming) * User types accessing application candidates (light, moderate, power users by module) * Application candidates per ERP model (bar chart) * Candidates by CRUD operation type (create, read, update, delete) * Application types categorized by model type (standard ERP model, workflow, custom business area) * **Selected potential candidates tab:** Lists candidates identified as strong replatforming prospects with detailed columns such as: * Name and description of candidate * Associated ERP application and module * Potential score indicating replatforming suitability * Count of similar candidates based on remote tables * Number of ERP models the candidate belongs to (models configured in ERP Canvas) * Last updated timestamp for record tracking * **All applications results tab:** Provides system-wide statistics useful after data import: * Applications per module (donut chart) * Users per module (donut chart) * User types by application module (light, moderate, power users) ## Practical Benefits for ServiceNow Customers This dashboard empowers ServiceNow customers to: * Quickly assess the volume and distribution of ERP customization candidates across modules and models * Identify high-potential candidates for replatforming, aiding prioritization and decision-making * Understand user engagement patterns with customized ERP applications to better tailor mining efforts * Access detailed candidate information to support troubleshooting and refinement of ERP customization mining processes * Leverage ERP Canvas integration for managing ERP models and aligning mining results with business applications Overall, these capabilities enable more efficient and informed management of ERP customization projects within the ServiceNow platform. Use the ERP Customization Mining home page dashboard to obtain statistics about candidates and info to help you troubleshoot. View statistics, metrics, and debug information for ERP Customization Mining on the dashboard. Open links to related ERP Customization 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 AllERP FoundationERP Customization 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 {#erpcm-obtaining-statistics-and-mining-analysis__section_ow3_prf_rdc} This tab contains information about candidates. {#erpcm-obtaining-statistics-and-mining-analysis__table_myy_kpf_b2c__entry__3} | 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 ERP Canvas. | | 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 ERP Canvas), a workflow, or a custom business area. | [Table 1. Data visualizations] {#erpcm-obtaining-statistics-and-mining-analysis__table_myy_kpf_b2c} ## Selected potential candidates tab {#erpcm-obtaining-statistics-and-mining-analysis__section_awh_qrf_rdc} This tab contains information about candidates that have been identified as potential candidates for replatforming. {#erpcm-obtaining-statistics-and-mining-analysis__table_uln_spf_b2c__entry__2} | 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 ERP Canvas. 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](https://servicenow-prod.fluidtopics.net/HRzgoiy99IVfEvr_ce8MDA "ERP (Enterprise Resource Planning) models function as templates for sets of tables that give you access to ERP data. Use model management to create read and update operations that access the ERP system with specified inputs and outputs to map fields for use on the ServiceNow AI Platform."). | | Updated | Date and time the candidate record was last edited. | [Table 2. List report columns] {#erpcm-obtaining-statistics-and-mining-analysis__table_uln_spf_b2c} ## All applications results tab {#erpcm-obtaining-statistics-and-mining-analysis__section_eqx_qrf_rdc} This tab contains system-wide information that is useful to view after importing data. {#erpcm-obtaining-statistics-and-mining-analysis__table_bdn_tpf_b2c__entry__3} | | | | |-|-|-| | 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. | [Table 3. Data visualizations] {#erpcm-obtaining-statistics-and-mining-analysis__table_bdn_tpf_b2c} *[\>]: and then