Voice Analytics Blog
Voice analytics is the process of using speech engines to process audio recordings, convert speech into text, and extract insights from voice data. Analysis of the speech patterns, emotions, and other signals from the speaker provide powerful clues to call centers of how to provide better service to their customers.
The holiday season is quickly approaching! Most businesses, especially E-commerce stores, are coming up with strategies to capitalize on opportunities that come with them. According to Adobe Digital Insights in 2019, sales increased by 13.1% with consumers in the USA spending more than $142.5 billion dollars between November 1 and December 26 online. This number has been rising since 2016.
Organizations need to up their game to take on smarter uses of voice over the coming decade. Organizations will have to gear up for “Big Voice Data” that goes beyond rudimentary search to analytic leverage and secure redaction of sensitive voice phrases.
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...