Contact center analytics is the process of collecting, measuring, and analyzing data from contact center interactions. This data can be used to improve customer satisfaction, reduce costs, and improve agent productivity. We are using Azure's speech to text service for automatic Contact Center Analytics, form filling and entity extraction with OpenAl to machine readable records.
We are leveraging OpenAI's ML models and Azure's Speech to Text service to build advanced Contact Center Analytics. This system is also eligible in form filling and entity extraction to machine readable records.
ThirdEye Data builds advanced Contact Center Analysis for enterprises to improve customer satisfaction, Reducing costs and increase agents productivity.
We have prepared advanced Call Center Analytics systems which are ready to be deployed.
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Before embracing the contact center analytics, businesses may have some common asks. We are trying to answer them here.
We are using a variety of tools and technologies for contact center analytics, including CRM software, call recording software, OpenAI's ML models, Azure's Speech to Text Service and analytics platforms.
We are ensuring the security of our contact center data by using encryption, firewalls, and access controls.
We are using contact center analytics to improve your customer service by identifying areas where customer satisfaction can be improved, providing agents with real-time insights into customer interactions, and tracking the effectiveness of your marketing campaigns.
We are using contact center analytics to reduce costs by identifying opportunities to automate tasks or improve efficiency.
We are using contact center analytics to improve agent productivity by providing agents with real-time insights into customer interactions and by tracking the performance of individual agents.
There are a few risks associated with contact center analytics, including: