Banking Industry use cases for Speech-to-text
June 14, 2023
Banking Industry use cases for Speech-to-text

Score 7 out of 10
Vetted Review
Verified User
Overall Satisfaction with Verint Speech Analytics
Taking call data and translating it to text data to enable analysis. Text data is used downstream to determine the call driver to help guide business decisions and ensure adequate resource allocation.
Pros
- Verint Speech Analytics has been solidly reliable in enabling call transcription
Cons
- Accuracy; currently our call accuracy is measured at 73% which creates some confusion when listening for select key words which we use to determine whether regulatory disclosures have been provided.
- Taking call data and translating it to text data to enable analysis. Text data is used downstream to determine the call driver to help guide business decisions and ensure adequate resource allocation.
- The tool has enabled call type analysis which is leveraged for top level strategy decisions around resource allocation across queues to ensure sufficient staffing.
Do you think Verint Speech and Text Analytics delivers good value for the price?
Not sure
Are you happy with Verint Speech and Text Analytics's feature set?
Yes
Did Verint Speech and Text Analytics live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Verint Speech and Text Analytics go as expected?
I wasn't involved with the implementation phase
Would you buy Verint Speech and Text Analytics again?
Yes

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