Exploring CMDB success advisor
Learn about CMDB success advisor and review the benefits it can provide for different users in your organization.
CMDB success advisor overview
With the CMDB success advisor application, you can review CMDB Data Manager policies and Configuration Management Database (CMDB) settings to identify areas where improvements can be made in Data Foundations and the Hardware Asset Management (HAM) application. The advisor uses customized CMDB metrics to improve data quality for targeted configuration item (CI) classes, identifying and monitoring the CI classes most critical to your organizational processes to enable complete and accurate data in Data Foundations, and tracking hardware model categories for HAM.
CMDB success advisor users
| User | Description | Additional roles required |
|---|---|---|
| CMDB administrator | Users with the sn_cmdb_admin role can configure and improve CMDB data accuracy based on specific business use cases. With targeted CI tracking, practical data integration suggestions, and application-specific dashboards, the CMDB success advisor enables CMDB administrators to improve CMDB data accuracy and achieve key business outcomes. For Data Foundations, administrators can select and manage principal classes, monitor data quality across the CI classes most critical to incidents, changes, and problems, and use integration coverage analysis to ensure the right data sources are keeping the CMDB accurate and complete. For Hardware Asset Management, administrators can focus on critical hardware model categories to improve normalization rates, asset life cycle tracking, and data accuracy for business outcomes like HAM. |
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CMDB success advisor benefits
The following benefits are available to CMDB administrators across both Data Foundations and HAM.
| Benefit | Feature | Users |
|---|---|---|
| Focused CMDB setup for specific business outcomes For Data Foundations, advisor dashboard scope is built from principal classes recommended based on incident, problem, and change (IPC) activity. If IPC data is unavailable, classes are ranked by how widely they are used across your CMDB. For new instances with no historical data, a set of default classes is suggested. For HAM, advisor dashboard scope is defined by hardware model categories. |
Use-case-driven CMDB configuration. To learn more, see: Set up CMDB success advisor for Data Foundations and Set up CMDB success advisor for HAM |
CMDB administrator |
| Improved visibility For Data Foundations, view CI data quality metrics by principal CI class, including missing attributes, stale records, duplicate CIs, and discovery source breakdown. For HAM, view hardware asset metrics by model category and integration source. |
Dashboard with consolidated insights and metrics To learn more, see: Monitoring CMDB data quality using dashboard metrics in CMDB success advisor for Data Foundations and Monitoring CMDB data quality using dashboard metrics in CMDB success advisor for HAM |
CMDB administrator |
| Continuous data quality improvement For Data Foundations, track KPIs for CI completeness, stale records, duplicates, and integration coverage across principal classes. For HAM, track KPIs for missing model ID, serial number, location, duplicates, and asset state. |
KPI details access from the dashboard for metric monitoring, remediation tracking, and guided resolution steps To learn more, see: Monitoring CMDB data quality using dashboard metrics in CMDB success advisor for Data Foundations and Monitoring CMDB data quality using dashboard metrics in CMDB success advisor for HAM |
CMDB administrator |
| Data quality improvement suggestions For Data Foundations, playbooks target principal class issues such as stale CIs and duplicate records. For HAM, guided playbooks address hardware issues such as missing serial numbers and asset/CI mismatches. |
Remediation actions panel available for a chart in the dashboard To learn more, see: Improving CMDB data quality for Data Foundations and Improving CMDB data quality for HAM |
CMDB administrator |
| Better alignment of CMDB rules and policies For Data Foundations, align CMDB Data Manager ownership policies and reconciliation rules for principal classes. For HAM, configure synchronization rules, asset creation rules, and status mappings. |
Settings summary for gap analysis and configuration guidance To learn more, see: Analyze CMDB settings for Data Foundations and Analyze CMDB settings for HAM |
CMDB administrator |
| Improved CMDB data coverage and accuracy For Data Foundations, evaluate integration sources with attribute-level coverage analysis across principal classes. For HAM, review SGC and Discovery pattern rankings for hardware model categories. |
Data integrations summary for reviewing and evaluating integration sources To learn more, see: Analyzing data integrations for improving Data Foundations and Analyzing data integrations for improving HAM data coverage |
CMDB administrator |
Use cases
- Data Foundations: Improve data quality across the principal classes your organization relies on for incidents, changes, and problems. Monitor attribute completeness, detect stale and duplicate records, and evaluate integration coverage to ensure the right data sources are populating your CMDB. For more information, see Using CMDB success advisor for Data Foundations.
- HAM: Improve hardware data quality across model categories such as computers, servers, and printers. Identify and fix missing model IDs, serial numbers, and locations, eliminate duplicate CIs and align asset and CI states to support accurate life cycle tracking and financial reporting. For more information, see Using CMDB success advisor for HAM.