Added ability to set custom callerID numbers per campaign for outbound calls by areacode. You can even set multiple callerIDs per areacode.
git-svn-id: svn://192.168.202.10@1717 3d104415-ff17-0410-8863-d5cf3c621b8a
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@@ -110,3 +110,35 @@ INSERT INTO vicidial_statuses values('CPDSV','CPD Sit-Vacant','N','N','UNDEFINED
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INSERT INTO vicidial_statuses values('CPDUK','CPD Unknown','N','N','UNDEFINED','N','N','N','N','N','N');
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INSERT INTO vicidial_statuses values('CPDERR','CPD Error','N','N','UNDEFINED','N','N','N','N','N','N');
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Marketing Description of the Sangoma Netborder Call Analyzer:
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Call Progress Analysis is the process of detecting pre-connect information about failed outbound call attempts and the destination party’s media type for connected outbound calls.
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Strictly speaking, Call Progress Analysis (CPA) is the automated determination by a piece of telecommunications equipment as to the result of dialing a number. For example, the result of the analysis might be a busy tone, an answered call, ringing at the other end but no answer after a preset number of rings or after a specified duration of time, and so on. The analysis involves detecting the various call progress tones generated by the telephone network as the call is put through.
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Traditional Call Progress Analysis implementations rely on simple rule-based algorithms, which provide sub-optimal accuracy of speed of processing, leading to significant inefficiencies in operations. In a number of real-life campaigns, dialing applications often reach their target in less than 30% of the call attempts.
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Call Analyzer's Call Progress Analysis engine is patent-pending technology that is built on statistical models that represent the potential outcomes of call attempts. The result is a virtual machine that learns the patterns of what constitutes a call attempt that result in a voice mail versus a live human versus a special intercept tone, etc. The Call Analyzer functions much like the human brain and is able to adapt to a wide variety of noise conditions, ringing patterns and telecom network conditions.
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Sangoma has run its own internal benchmarking of various technologies, out of the box, without tuning; using a database of live recordings of approximately 5000 calls. Sangoma provides 15% increase in accuracy over competing technologies. While this does not constitute a guarantee, live deployments should experience similar results and performance over a statistically significant sample of calls.
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Features:
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* Best-in-industry accuracy and response time
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With patent-pending algorithms, NetBorder Call Analyzer delivers the highest accuracy and fastest call delivery rates available for automated calling applications.
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* Optimized Detection
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o Configurable pre-connect tone detection
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o Post-connect analysis
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o End of Greeting
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* Resilient against different calling conditions
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Statistical models used by NetBorder Call Analyzer are robust, regardless of background noise and network conditions.
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* Integrate via Standards-Based SIP
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No proprietary Application Programming Interfaces. Support for both PSTN and VoIP networks.
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* Operate in a dynamic environment
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Call progress confidence measures enable the system to adapt according to contact center operating conditions.
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* Streamlined tuning process The statistical approach eliminates the need for long and frequent tuning cycles of the call progress parameters.
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