Understanding UC capacity guidelines and endpoint limits is critical when your responsibilities extend across a global network. Complicating the design for performance mandate is that UC sizing compared to traditional telephony sizing is not based on trunks alone. What is needed is information that assists in the answering of design criteria so that the network is able to adequately deliver acceptable performance as measured by availability, reliability, response time, and quality of service. Active monitoring of the complete UC stack: Voice, IM & Presence, and Video is required.
How can Predictive UC Analytics provides the added benefit of trending future usage patterns for added visibility assist in supporting capacity guidelines?
Predictive UC Analytics can provide supersets of UC session attributes by binding session activity records (ie. CDR), QoS management records (ie. CMR), and public facing router/MCU SYSLOG streams. These supersets enhance real-time and historical capacity reports by enhancing the level of visibility into route plans, busy hour call attempts, average call hold times, as wells as TX/RX bandwidth usage and the impact different codecs have on voice gateway CPU performance. In addition, tracking desktop video, IM & Presence implementations provide Quality of Experience(QoE) matrices that enhance the QoS monitoring.
VoIP engineers still find it difficult to estimate the number of trunk channels or ports that must be supported through VoIP gateways. Many fail to realize that the basic premise of trunk utilization has not changed from TDM networks to VoIP. What is needed is a call management system that aggregates concurrent call activity by route groups and overlays it with network users service requirements.
How does Predictive UC Analytics supports 'Best Practice' Trunk utilization monitoring?
Predictive UC Analytics provides the three elements needed to accurately monitor Unified Communication (UC) trunks or ports regardless of being ISDN, SIP, MGCP, or other. First, Predictive UC Analytics can determine the number of users accessing the network and the characteristics of services needed to support their business function (ie. clerical, engineer, sales representative, or call center agent). Second, Predictive UC Analytics can report on the call volume to channel ratio by class of service. And finally, Predictive UC Analytics can show you how to localize the route planning to optimize cost effective services.
Critical business information is lost when call management systems cannot link transfer and event records to the originating or final party call detail. Business quickly realize that tracking the complete call improves a customer experience, the quality of service, and quickly discovers strengths and weaknesses.
How does Predictive UC Analytics link session chains?
PBX, IPPBX, or UC platform manufacturers all generate activity records (ie. CDR) and event activity logs with only a small group of attributes in common. For systems that provide activity records for internal communication and a method of linking records types with a event link or global session identifier Predictive UC Analytics provides chronological session chain reports that places every session attribute at your fingertips from the originating party, through every transfer, to the final session terminating event.