Voice Analytics Blog
It’s crucial to start somewhere, as monitoring your employee experience (EX) is the first line of defense for your enterprise’s customer experience (CX).
Agents are more frequently working from home, which brings new challenges and considerations for organizations to optimize performance and maximize ROI even with a distributed workforce.
The use of artificial intelligence in an enterprise call center is not to replace your agents, but to empower them with the insights about their behavior as well as the customer’s. Enterprises can apply machine learning to find the full value from inbound and outbound calls.
By leveraging this powerful technology, brands can access a wealth of value, optimize their customer experience, and in turn increase profits through more effective customer retention.
At the core of any good voice analytics solution is a solid speech-to-text transcription. If your voice data isn't being transcribed how you need it, what's the point? There's a myriad of factors to consider when dealing with Automatic Speech Recognition (ASR)...
Voice Analytics has been empowering frontline workers in contact centers and organizations for years, but 86% of businesses report that they need better technology-enabled insights to really gain value from their data. The value of these analytics can be transformational for enterprises.
By implementing a reliable and appropriate Voice of the Customer program, businesses can bring their operations into the modern era, and lead the way in their digital transformation. To understand and explore all this customer-centric data, there are a range of...
Voice analytics software is not created equal. Let VoiceBase guide you through your digital transformation.
PCI - PII Redaction requirements Electronic data processing laws are constantly evolving and there are many standards and regulations that today’s businesses need to maintain. PCI - DSS, the International Payment Card Industry Data Security Standard, is a global...
The way call centers handle their data is crucial, and now that many around the globe will have to rapidly switch to a telecommuting model, they are faced with a whole new set of challenges.