Trusted by major operators
across the world:
Model relational and spatial relationships between assets, as well as topological and hierarchical relationships.
These relationships underpin the ability to route services, identify available capacity and asset utilization, track faults, and find common points of failure.
The common data model used by CROSS means it provides a key resource for operational use cases and processes. Data can be shared and access automated, providing greater agility and accelerating problem resolution and assurance. The unified view of all data, service and resources enables optimized workflows.
SIA capabilities allow you to closely manage SLAs and regulatory requirements and understand the business impact of any service issue. Prioritize repairs, schedule relevant customer notifications, and service updates so your customers stay informed.
Data quality assurance features allow users to work with data of variable quality and improve its accuracy. Data is tagged and ranked to identify where gaps can be corrected so that complete and reliable inventory is available to support users and workflows.
RCA and fault identification provides instant insight into affected services and customers and the root cause of a physical failure. Alarms can be correlated by type, importance, and time, with full integration with external network management/monitoring systems.
The BSS/OSS solution by Enxoo and CROSS will enable NEXERA to respond to customer demands quickly and with the highest quality. Great level of automation of the solution, flexibility of the platform as well as in-depth telco knowledge and experience of Enxoo and CROSS teams encouraged us to select these partners.
CROSS integrates all current information about the equipment, its location and free capacity in one database. It allowed us to dramatically shorten offer preparation time for large VPN networks. We can calculate very accurately our cost of the proposed solution, and create alternatives to match the customer’s budget.
By deploying CROSS together with UMS we have shortened identifying a network outage from tens of minutes to minutes, and finding customers impacted by the outage from hours to minutes. That enabled us to significantly improve the quality of our services.
CROSS enabled us to control whether lease lines are still being used for paid services or whether they are still financially viable. We have been able to find unused or unprofitable circuits and save about 5% of annual Opex.
The product feature that blew me away was the first I’ve seen that allows significant inter-relationship of data (yet in a simple data model), but still copes with poor data quality.
CROSS allows us to store data with a varying level of detail. It does not impact proper functioning of RCA, SIA, Opex assurance, Availability check or network visualization in a map. Its system for data quality management - Data Ranking - allows us to identify the data with inadequate quality and improve it as needed.
When preparing planned outages, it used to take us a couple of days to identify all affected customers. CROSS helped us reduce that time to a few minutes.
One stunningly simple idea that helps to overcome one of OSS’ biggest challenges – data quality.
CROSS enables efficient service planning, deployment and management. It delivers rich business insights, including financial analysis and cost estimates, based on accurate inventory. The insights delivered enable operators, carriers and service providers to accelerate service deployment and provisioning.
Quickly design and deliver new services based on resource availability across different network technologies and virtual networks. Incorporate criteria such as virtual network routing, available capacity, technology types, and physical constraints defined by SLAs.
Bridge operational costs of owned/leased resources with service revenue to deliver insights needed to optimize network costs and identify profitable/unprofitable service contracts. These insights support Revenue Assurance programs (aligned with eTOM), boost KPIs, protect against revenue leakage.
Track capacity consumption between the layers and easily query and report on areas which require expansion, or which are underutilized across all physical and logical layers. Check the availability of resources required for specific service demands, both current and future.
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