NP Intelligent Asset & Inventory Management
NP’s IAM ensures network reliability and transparency by assimilating and correlating disparate enterprise and departmental servers, network devices (e.g. smart meters, transformers, communication nodes) and software application assets into a common unified view providing consistent lifecycle management, data quality, outage reporting and governance across all systems.
The NAIAA Graphical User Interface provides an outstanding high level and detail view of the Network Assets and provides a central touch point for all asset operations. Assets may be viewed by type, source discovery system, geography, market, region or status. Assets meeting the stringent and customizable data quality rules can be auto-approved while those exhibiting data quality issues are flagged for correction. The data quality rule violations affecting your inventory are clearly displayed along with metrics regarding the size and scope of the issue. The system automatically generates service tickets to your change management system with details about what needs to be changed to accomplish the correct asset configuration and data-fill remediation.
Key Features and Benefits
- • With PreClarity’s Network Asset and Inventory Management system, customers are able to impart a formal processes to asset on-boarding, management and decommissioning ensuring that that only assets which meet strict corporate naming, IP addressing, versioning, asset location and asset identification standards are allowed to be formally approved into production.
- • Approved assets are automatically promoted into the Monitoring System (e.g. Inventory, MDM, ERP) and alerts are generated if any managed device fails rediscovery, undergoes significant configuration changes, is involved in extended outage or is removed/disabled from monitoring.
- • Integration with change management means a clear disclosure of all devices, servers & applications that will be impacted BEFORE any planned reboot, configuration change or maintenance window occurs.
- • Collects and integrates from siloed network monitoring systems and supports visualizing the entire network and mapping outage dependencies (including cross silo assets) reliably.
- • Automatically suspends alarms/alerts for devices predictably failing due to planned periodic maintenance events that are in progress. Prevents false alarms and reduces NOC workload.
- • System automatically self-corrects accuracy of outage prediction of dependent devices during maintenance events and requires that all dependent devices be restored to service prior to classifying a planned maintenance event as complete.
- • Enhanced outage detection identifies failing devices based on deviations from trends and traffic norms in addition to last gasp and trap/poll responses.