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Are you struggling to manage multiple mobile private networks? HPE Aruba Networking Private 5G Management Dashboard is a private network management platform that features multi-tenant provisioning and monitoring and role- based access for enhanced security. Allow system admins and operators to handle multiple customers or business units with user-specific roles, access, and resources. Simplify operations with central provisioning (devices/USIMs), configuration, and monitoring via a single pane of glass. Utilize HPE Aruba Networking Private 5G Management Dashboard to manage multiple 4G/5G private networks for efficient provisioning of devices, profiles, and associated quality of service (QoS) with KPI monitoring and analysis of traffic data in real-time.
Get Started
Financing available through HPEFS
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Maximize your HPE Aruba Networking Private 5G Management Dashboard
Multi-tenant Management of Distributed Private Mobile Networks
HPE Aruba Networking Private 5G Management Dashboard delivers network management visibility securely across multiple entities on a single console with multi-tenant resource segregation and granular role-based access control on what users can perform when managing the network.
With provisioning of devices, profiles, and associated quality of service, the full Universal SIM lifecycle is supported from workflow management to status monitoring.
Centralized configuration management enables consistency across distributed networks.
KPI-based Monitoring with Deep Drill-down Capability
HPE Aruba Networking Private 5G Management Dashboard makes it easier to manage service levels with real-time KPIs and intuitive drill downs for troubleshooting and deeper granularity.
Capture and display performance KPIs for radio status, access status, and network usage status.
Drive Insights with Traffic Analytics
HPE Aruba Networking Private 5G Management Dashboard offers deep data traffic analysis, filtering, aggregation based on Call Data Records (CDRs),
Gain valuable insight with traffic descriptive analytics and historical data to detect anomalies and trends over time.
Leverage a data repository with CDR data that has been cleansed, enriched, and stored for additional analysis.
