DataMiner CPE Manager
Monitor service quality and availability more efficiently than ever before...
DataMiner Customer Premises Equipment Manager (DMS CPE Manager) is a cutting-edge software platform, specifically designed to monitor and manage the most complex IPTV, HFC broadband, satellite and other technology ecosystems end-to-end. The platform enables operators to collect key performance indicators across their entire installed base of CPE devices (e.g. cable or xDSL modems, set-top boxes and eMTAs), and to create an unrivaled visibility on the service quality and availability throughout the entire operational ecosystem.
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Intuitively navigate through the most complex HFC broadband, telecom or satellite systems, from any possible perspective, down to a single sub-scriber amongst millions. |
Instant notification of any issues detected at any level of your operational system, enhanced with powerfull root-cause-analysis to pinpoint with surgical precision the origin of your problems. |
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View detailed statistical key perfor-mance indicators on any possible level of your operational systems, based on data extracted from your entire customer base. Identify and fix service performance issues quicker and more efficiently than ever before. |
Historical data instantly available as intuitive graphs for detailed perfor-mance analysis and troubleshooting, at any level in your operational system (e.g. on an optical node, ampli-fier, DSLAM, routers, subscribers, etc.) |
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Isolate affected customers instantly and view detailed data on individual subscribers, and provide accurate to- the-point customer support services. |
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Long term statistics catering plant analysis and supporting capacity engineering. |
By correlating the vast volumes of data collected from all system endpoints against a comprehensive network model, DataMiner CPE Manager has the ability to pinpoint any issues or emerging issues with surgical precision, no matter where they are located in the plant. DataMiner CPE Manager features full user-definable continuous round-robin collection of so-called Key Performance Indicators (KPI) from every single CPE device deployed in the field, and statistically processes those for different user-definable system layers (e.g. geographical and logical groupings such as streets, optical nodes, cities, DSLAM, CMTS, VOD groups, etc.) offering operators comprehensive real-time consolidated information, alarming, trending and reporting, etc. at all those user-defined system levels.
DataMiner CPE Manager, with its open architecture and multitude of industry-standard interfaces, offers a seamless integration with any of your business processes, resulting in significant added value across all aspects of the operations (e.g. including overall QoE monitoring, engineering troubleshooting, help desk & customer support, marketing, etc.). DataMiner CPE Manager is available as a standalone platform, with a multitude of interfaces for a seamless integration with all aspects of the operations (e.g. provisioning, OSS, trouble ticket systems, help desk environment, customer self care web portals, etc.), but can also be deployed as a fully integrated part of the renowned and widely deployed DataMiner multi-vendor NMS environment. The latter makes DataMiner the very first platform in the industry effectively enabling operators to view any possible active component in their ecosystem, from content acquisition in the headend to content delivery at the subscriber home, and across any possible vendor or technology boundaries.
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CPE Manager
Key Features:
Open architecture & industry standard interfaces CPE interfacing based on any possible protocol (e.g. SNMP, RTCP, proprietary, etc.) Supports native CPE information and/or any third party CPE agents & probes Scalable up to many millions of CPE objects High performance data processing capabilities DHCP interfacing User-definable correlation network model Automated Provisioning Data Warehouse Interfacing Help Desk Interfacing Stand-alone or integrated Northbound Interfacing
Benefits:
Create unrivaled visibility on quality and availability of services Detect & resolve emerging issues before they affect customers Reduce number of help desk calls significantly Provide more accurate feedback to customers Plan pro-active maintenance Reduce operational expenses Deploy plant resources more efficiently
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