--- sourceDocument: Zurich ServiceNow AI Platform Capabilities sourceDocumentLink: https://www.servicenow.com/docs/r/zurich/servicenow-platform Release : - zurich ft:locale : - en-US ft:publication_title : - Zurich ServiceNow AI Platform Capabilities ft:clusterId : - platcap bundleId : - platcap workflow : - Platform --- # Monitor foundational data quality # Monitoring CMDB data quality using dashboard metrics in CMDB success advisor for Data Foundations {#ariaid-title1} * Release version: Zurich * * Updated May 25, 2026 * * ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 5 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 Monitoring CMDB Data Quality Using Dashboard Metrics in CMDB Success Advisor for Data Foundations The CMDB success advisor for Data Foundations dashboard is a powerful tool for CMDB administrators to monitor and improve the quality of Configuration Management Database (CMDB) data. It focuses on principal CI classes and highlights data quality issues such as attribute completeness, stale records, and duplicates. The dashboard provides actionable insights through visual metrics, AI-generated summaries, and remediation guidance to help maintain accurate and reliable CMDB data aligned with Data Foundations best practices. Show full answer Show less ## Key Features * **AI-Generated Data Quality Insights:** The dashboard includes an AI-powered summary that ranks the top five data quality issues affecting the CMDB, prioritizing foundational problems like duplicates and stale CIs. This summary helps focus remediation efforts effectively. * **Principal Class and Data Source Breakdown:** Visual charts display the distribution of operational CIs by principal classes and data integration sources, enabling administrators to understand data population and coverage. * **Attribute Completeness Metrics:** The dashboard identifies CI classes missing key attributes, such as name, managed by group, or location, highlighting areas needing data enrichment. * **Data Quality Issues Monitoring:** Metrics track stale CIs that have not been updated within defined maintenance windows and detect duplicate CIs, both of which can compromise CMDB accuracy and impact incident and change management. * **Filters for Targeted Analysis:** Administrators can refine dashboard data by selecting specific principal classes, date ranges, and thresholds for stale CIs to focus on relevant subsets of data quality issues. * **Remediation Actions Panel:** When available, this panel guides users through steps to resolve identified data quality problems, facilitating continuous CMDB improvement. ## Access and Roles The dashboard is accessible from the CMDB success advisor landing page after completing the Data Foundations setup process. Access requires the **sncmdbadmin** role for full dashboard capabilities, while the **sncmdbuser** role provides read-only access including viewing AI summaries. ## Practical Use Cases * Monitor completeness of CI attributes across key classes to ensure data integrity. * Identify and prioritize classes with low data quality scores and those affected by stale or duplicate records. * Evaluate integration coverage to verify correct data sources populate the CMDB. * Use incident, change, and problem impact data to prioritize remediation efforts efficiently. * Track progress toward alignment with the Common Service Data Model (CSDM). ## Key Outcomes By regularly monitoring the dashboard and acting on the recommended remediation steps, ServiceNow customers can systematically enhance CMDB data quality, leading to more accurate configuration data. This improves operational decision-making, incident and change impact analysis, and overall ServiceNow platform reliability. The CMDB success advisor for Data Foundations dashboard enables CMDB administrators to identify and address data quality issues specific to principal classes in the Configuration Management Database (CMDB). Important: Charts display up to the top 10 values. Any remaining values are grouped into an Others category. When you select a segment or count on a chart from a CMDB success advisor dashboard, the KPI Details page opens. On the page, you can analyze how a specific metric trends over time. Additionally, the Remediation actions panel appears when remediation actions are available for that card. Use the panel to improve the quality of CMDB. To learn more, see [KPI Details](https://www.servicenow.com/docs/access?context=kpi-details&version=zurich&pubname=zurich-now-intelligence&ft:locale=en-US) and [Improving CMDB data quality for Data Foundations](https://www.servicenow.com/docs/QFSr~QdJ_Ki9ORYrqhsQsQ "The Remediation actions panel available for a chart in the CMDB success advisor dashboard for Data Foundations suggests targeted actions to address Data Foundations data quality issues and improve the overall quality of your Configuration Management Database (CMDB)."). Note: If the Performance Analytics data collector exceeds its row limit during data processing, a notification banner appears on the dashboard indicating that some metrics could not be loaded. For more information, see [Data collector Performance Analytics properties](https://www.servicenow.com/docs/access?context=pa-dc-props&version=zurich&pubname=zurich-now-intelligence&ft:locale=en-US). ## Access the dashboard {#cmdb-sa-df-dashboard__section_ehq_vml_k3c} To open the dashboard, select View insights for Data Foundations on the CMDB success advisor landing page. See [Access CMDB success advisor](https://www.servicenow.com/docs/m0fuZtqKYDILtOzFZG4PZQ "You can access CMDB success advisor from the Service Graph Workspace, CMDB Workspace, or Software Asset Workspace to set up and manage application-specific dashboards. Depending on your progress, you can either begin the setup or access the dashboard to monitor and manage targeted configuration items (CIs) for an application."). The dashboard header displays a Last updated timestamp reflecting the completion time of the most recent Data Foundations data collector job run. Note: The CMDB success advisor for Data Foundations dashboard is available only after the setup process is complete. For more information, see [CMDB success advisor for Data Foundations setup](https://www.servicenow.com/docs/7UfhouwFT_i7ET7TCbHy0g "The Data Foundations advisor dashboard provides tools to define your principal class scope, monitor CI data quality, and drive targeted improvements."). ## Required roles {#cmdb-sa-df-dashboard__section_kwl_vml_k3c} {#cmdb-sa-df-dashboard__table_zjj_xwy_hgc__entry__2} | Role | Description | |-|-| | sn_cmdb_admin | Required to access the Data Foundations dashboard. | | sn_cmdb_user | Provides read-only access to CMDB success advisor pages and data, including the AI-generated summary of the dashboard. | [Table 1. Roles required for CMDB success advisor for Data Foundations dashboard] {#cmdb-sa-df-dashboard__table_zjj_xwy_hgc} ## Use cases {#cmdb-sa-df-dashboard__section_ay2_vml_k3c} For examples of how different people in your organization would use this dashboard, see these use cases. {#cmdb-sa-df-dashboard__table_lnc_zz1_2gc__entry__2} | User | Dashboard use | |-|-| | CMDB administrator | * Monitor CI attribute completeness across principal classes * Identify classes at risk with low data quality scores * Detect stale and duplicate CI records affecting CMDB data accuracy * Evaluate integration coverage to ensure the right sources are populating the CMDB * Prioritize remediation efforts based on incident, change, and problem impact * Track progress toward CSDM alignment {#cmdb-sa-df-dashboard__ul_mw5_wml_k3c} | [ ] {#cmdb-sa-df-dashboard__table_lnc_zz1_2gc} ## Dashboard features {#cmdb-sa-df-dashboard__section_yph_1nl_k3c} The dashboard provides clear, consolidated insights into principal CI class data quality and completeness. Use the dashboard to identify and resolve data quality issues within the CMDB through dedicated sections, filters, indicators, and visual reports. Gain valuable insights into CMDB performance related to Data Foundations. Targeted CMDB metrics focus remediation efforts. Regularly monitor these metrics and follow suggested remediation actions to systematically improve CMDB data quality over time. Important: The dashboard data is filtered based on the Selected principal classes and Date range filters. See [Filters](https://www.servicenow.com/docs/PvVLsDPiDklzpWkFxTLlDw#cmdb-sa-df-dashboard__section_xsj_x4l_k3c). {#cmdb-sa-df-dashboard__section_yph_1nl_k3c__entry__2} | Feature | Description | |-|-| | CMDB data quality insights generated by AI | Displays an AI-generated summary of CMDB data quality for Data Foundations outcomes and lists the top 5 issues with guided remediation actions. Issues are ranked primarily by the percentage of CIs or CI classes that each issue affects, not by severity, within four categories, in this order: Data Integrity, Key Attributes, Reconciliation \& Governance, and Data Manager Policies. Foundational data integrity issues, such as duplicate CIs and stale CIs, are evaluated first because they can inflate the counts behind other issues. A percentage gap of more than 15 points between issues in the same category can change their default order. A percentage gap of more than 40 points between issues in different categories can also change their default order. For the reasoning behind the ranking and recommendations, see [Summarize CMDB readiness with the ServiceNow Otto skill](https://www.servicenow.com/docs/LBexPqN0by2borh3GXQ2zg "View an AI-generated summary of the CMDB success advisor for HAM or CMDB success advisor for Data Foundations dashboard data. The summary highlights the key findings on CMDB data accuracy, completeness, and health, and recommends remediation actions to address the findings."). Note: Available only when the summarize CMDB readiness skill is configured. See [Configure the summarize CMDB readiness skill](https://www.servicenow.com/docs/rfH1A71d3IrL~eibHVk6DA "Review and configure the settings of the summarize CMDB readiness skill to control its availability and to enable an AI-generated summary of the CMDB success advisor dashboard data."). | | CIs by principal class | Displays the breakdown of operational CIs by principal CI class to highlight CI distribution in the CMDB. | | CIs by data integration source | Displays the breakdown of operational CIs by data integration source to highlight their contribution to CMDB population. | | [CIs missing key attributes](https://www.servicenow.com/docs/PvVLsDPiDklzpWkFxTLlDw#cmdb-sa-df-dashboard__section_opb_gpl_k3c) | Displays completeness metrics per principal CI class, identifying classes below the defined threshold. | | [CI data quality issues](https://www.servicenow.com/docs/PvVLsDPiDklzpWkFxTLlDw#cmdb-sa-df-dashboard__section_wx1_lpl_k3c) | Displays key metrics related to CIs that have not been updated or may have duplicate records, leading to outdated information and inconsistencies in the CMDB. | [Table 2. Feature description] ## Filters {#cmdb-sa-df-dashboard__section_xsj_x4l_k3c} Filters enable narrowing the data shown in graphs and metrics based on principal class, date range, or stale CI threshold. {#cmdb-sa-df-dashboard__table_dsk_4nj_fgc__entry__3}{#cmdb-sa-df-dashboard__stale-ci-filter} | Name | Type | Description | |-|-|-| | Principal classes | List | Filters CIs based on the selected principal classes. | | Date range | Date | Filters the dashboard data based on the selected date range. | | Stale CI | List | Filters stale CIs based on the number of days since their last update. Available values: `7`, `14`, `30`, `60`, and `90` days. | [ ] {#cmdb-sa-df-dashboard__table_dsk_4nj_fgc} ## CIs missing key attributes {#cmdb-sa-df-dashboard__section_opb_gpl_k3c} Key metrics for the completeness of CI attributes across principal classes, identifying gaps that affect data quality. {#cmdb-sa-df-dashboard__section_opb_gpl_k3c__entry__3} | Card | Description | Indicators | |-|-|-| | CIs missing name | Total number of CI records from principal classes missing a name, measured daily, where the CI does not have a name specified. | [DF CIs missing name](https://www.servicenow.com/docs/KPGsBVktNiJTJ_9rsPP_KQ#cmdb-sa-df-indicators__df-ci-missing-name) | | CIs missing managed by group | Total number of CI records from principal classes missing a managed by group, measured daily, where the CI does not have a managed by group assigned. | [DF CIs missing managed by group](https://www.servicenow.com/docs/KPGsBVktNiJTJ_9rsPP_KQ#cmdb-sa-df-indicators__df-ci-missing-managed-group) | | CIs missing location | Total number of CI records from principal classes missing a location, measured daily, where the CI does not have a location assigned. | [DF CIs missing location](https://www.servicenow.com/docs/KPGsBVktNiJTJ_9rsPP_KQ#cmdb-sa-df-indicators__df-ci-missing-location) | [ ] ## CI data quality issues {#cmdb-sa-df-dashboard__section_wx1_lpl_k3c} Key metrics for CIs that have not been updated or may have duplicate records, leading to outdated information and inconsistencies in the CMDB. {#cmdb-sa-df-dashboard__section_wx1_lpl_k3c__entry__3} | Card | Description | Indicators | |-|-|-| | Stale CIs | Principal class CIs not updated within the expected maintenance window, causing data gaps and inaccuracies that affect incident and change impact analysis. Additionally filtered by the [Stale CI](https://www.servicenow.com/docs/PvVLsDPiDklzpWkFxTLlDw#cmdb-sa-df-dashboard__stale-ci-filter) filter. When you select a segment on the Stale CIs chart, the KPI Details page title reflects the Stale CI filter value selected at the time (for example, "CIs not updated in last 30 days"). | [DF CIs not updated in last 7 days](https://www.servicenow.com/docs/KPGsBVktNiJTJ_9rsPP_KQ#cmdb-sa-df-indicators__df-ci-not-updated-7) [DF CIs not updated in last 14 days](https://www.servicenow.com/docs/KPGsBVktNiJTJ_9rsPP_KQ#cmdb-sa-df-indicators__df-ci-not-updated-14) [DF CIs not updated in last 30 days](https://www.servicenow.com/docs/KPGsBVktNiJTJ_9rsPP_KQ#cmdb-sa-df-indicators__df-ci-not-updated-30) [DF CIs not updated in last 60 days](https://www.servicenow.com/docs/KPGsBVktNiJTJ_9rsPP_KQ#cmdb-sa-df-indicators__df-ci-not-updated-60) [DF CIs not updated in last 90 days](https://www.servicenow.com/docs/KPGsBVktNiJTJ_9rsPP_KQ#cmdb-sa-df-indicators__df-ci-not-updated-90) Note: The CIs not updated card data is additionally filtered based on the Stale CI filter. See [Filters](https://www.servicenow.com/docs/PvVLsDPiDklzpWkFxTLlDw#cmdb-sa-df-dashboard__section_xsj_x4l_k3c). | | Duplicate CIs | Operational CIs identified as duplicates within principal classes, causing ambiguous CI selection in processes and data redundancy. | [DF Duplicate CIs](https://www.servicenow.com/docs/KPGsBVktNiJTJ_9rsPP_KQ#cmdb-sa-df-indicators__df-duplicate-cis) | [ ]