Optimize Network Variability to Improve Call Quality Up to 900%

By Talkdesk Data Team
0 min read

The multitude of customer data available to contact center platforms has executives scratching their heads at how to best leverage that data to drive business decisions. According to Dimension Data, though 58% of organizations agree analytics will help improve the customer journey, 64% still have no data analysis capability that combines data from all channels. It’s no surprise that more executives are turning to data science to understand their businesses and improve against key performance indicators.
In this blog post, Talkdesk’s team of data experts went on a mission to understand why a customer’s call quality had suddenly become extremely variable with no change in the contact center platform’s performance.
Background: With the increase in network variability due to remote workforces and the increase in national and global contact centers, the data team wanted to explore the impact of network improvement on the call quality of our customers. Our definition of a bad quality call includes jitter average value, round-trip time (rtt) average value and packet loss average value.
Approach: Talkdesk is built on Communications Platform as a Service (CPaaS) foundation and a microservices architecture; providing unmatched availability, call quality and on-demand global scalability. Our global network is designed to minimize latency and support optimal call distribution for crystal-clear conversations. Both uptime and call quality are backed with available SLAs. This analysis allowed the data team to understand the real impact of a network improvement on call quality and predict and inform our customers about possible changes to their systems that affect the quality of their calls.